Human Brain Project Specific Grant Agreement 3

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

D3.3 Showcase 6 Release of closed-loop sensorimotor demonstrators

Release of a set of functional, closed-loop demonstrators, connecting developed cognitive architectures to relevant physical agents, demonstrating the performance of a range of sensorimotor tasks.

D2.1 Showcase 3 - DEMO3.1 and Showcase 4 - DEMO4.1

Proof of concept demos of large scale, full brain simulation corresponding to different brain states and consciousness levels and robot demonstration and simulation of object and scene recognition v1.

D3.14 Showcase 5 - Final demonstrator, in-hand object manipulation performed by robotic hand

Simulation of in-hand performing in-object manipulation.

D6.7 Health Data Cloud

Demonstrator of the Health Data Cloud functional platform

D5.12 Upper limb Closed-loop neurorehabilitation simulator

Prototype of the functional simulator integrating the brain activity simulated by the TVB and the use of the ISMORE simulator with transfer to physical system.

D3.18 Memory-based contextual awareness supporting intelligent action planning for a mobile unmanned system in industrial setting (PROMEN-AID)

This demonstrator entails a simulation model, publically accessible on EBRAINS, which illustrates efficacy of the developed functional cognitive architecture in supporting the desired behavior for the system, relying on a physics simulation. It also includes implementation of relevant technological bricks on a real-world system, demonstrated in an industrially relevant environment.

D2.4 Final Showcases

Showcase 3 – DEMO3.3Full brain simulation corresponding to different brain states and consciousness levels integrating meso and microcortical mechanisms.Showcase 4 – DEMO4.3Simulation of object and scene recognition v3. This simulation will illustrate how the brain may achieve image and scene recognition through the process of learning to construct internal models (latent representations) of objects and the environment. In addition, the demonstration will document which data have been gathered and curated to inform the model, how the data are used to build models, object perception recognition in large-scale networks, and how data and model applications can unfold for neuromorphic computing and robotics.

D3.16 Final demonstrator of the deep learning and SNN model for robot control in a conditional task using the industrial manipulator UR5 (SPIKEFERENCE)

Final demonstrator illustrating both the deep learning and the SNN models for solving a conditional task using an industrial robotic arm UR5e. The precise sequence of actions depends on external conditions and the robot will improvise using the abstracted prior information already learnt.

D3.17 Automated manipulation technology for industrial warehouse applications (GROW)

The demonstrator includes a simulation models, hosted on EBRAINS. It illustrates the developed cognitive architecture’s ability, following a learning stage (used to acquire relevant knowledge of objects to be manipulated), to recognize desired sets of objects and manipulate them as required by the application. Relevant components are also demonstrated in a real-world setting.

D3.6 Showcase 6 - Closed-loop demonstrators addressing advanced cognitive and sensorimotor functions

Release of a set of functional, closed-loop demonstrators, connecting developed cognitive architectures to relevant physical agents, building upon previously implemented sensorimotor modalities to illustrate the performance of a range of advanced cognitive tasks.

D1.9 Proof of concept simulations for validity solutions

A software will be developed showing first traits of integrating task relevant brain function and task-related learning into activity-based models. The prototype will be a first implementation of the concepts proposed in the blueprint (D3.19 at M40) and demonstrate the functionality of individual key elements relevant to model integration (such as plasticity via deep learning, Structured Flows on Manifolds (SFM) for Motion Description Language).Tasks contributing to this Deliverable: T1.11, T2.1, T2.4 and T3.1

D2.3 Showcase 3 - DEMO3.2 and Showcase 4 - DEMO4.2

Advanced large scale, full brain simulation corresponding to different brain states and consciousness levels and robot demonstration and simulation of object and scene recognition v2.

D1.1 Early prototype software interface with atlas services based on initial versions of data models including DEMO1 of Showcases 1 and 2

A prototype implementation of the software interface between TVB and EBRAINS atlas services will be available. This prototype will be based on first incomplete versions of data and metadata models for the multiscale connectome data and demonstrate the principle of hosting the novel multiscale connectome and regional multimodal characteristics in EBRAINS, as well as linking of multiscale models to the atlas. Showcase demonstrators will comprise the prototype software interface and a video illustrating the influence of regional variability on seizure propagation through individual brain networks. Detailed specifications for DEMO2 are provided.

D1.2 Advanced prototype software integrating heterogeneous region models including DEMO2 of Showcases 1 and 2

A more advanced prototype software will be available, in which early drafts of advanced mean field models are integrated in TVB and exchange with EBRAINS atlas services. Showcase demonstrators will be available in the prototype and illustrate functional (but incomplete) workflows including breaking of regional variance in subject-specific brain network models using EBRAINS atlas services, simulation of individual resting fMRI signals and validation against empirical brain imaging signals. Detailed specifications for DEMO3 are provided.

D1.5 Full integration of atlas services, models and validation including DEMO3 of Showcases 1 and 2

Software integrating workflows of EBRAINS services (atlas, knowledge graph, HIP) and TVB will be available making full use of the brain reference framework, comprising the release of a variety of models of human brain networks acknowledging population variability, assessment of reliability, and normative data on model parameters in relation to demographic, lifestyle, and cognitive data of large cohorts. Integrated workflows will be available to create personalised brain network models in small detailed cohorts, enabling mutual prediction of brain states in different healthy (rest, cognitive tasks) and diseased conditions. The software will allow demonstrations of the showcases comprising the evaluation of predictive power of epileptic patient brain models, validated on large retrospective cohort (>100 patients), ready for clinical trial testing; as well as demonstrations of sampling of individual degeneracy from empirical functional resting-state imaging data and reconstruction of virtual brain model variability.

D1.4 Multiscale network models

Demonstrators will be available in EBRAINS featuring a multiscale data-driven network model (microcircuit models for cortex, cerebellum, hippocampus, basal ganglia) using Neuron and NEST, and mean field models integrating the specifics of each brain region; model will be integrated in WP1 brain reference framework, and will be informed and validated against empirical data sets, including parameter maps for neuroreceptors, molecular regulators and their complexes with cellular partners.

D3.1 Showcase 5 - Proof of Concept, performing human-like digit configurations by robotic hand

Simulation of robotic hand performing human-like digit configurations.

D1.6 Software pipeline from neurophysiological and brain structural connectivity data to individualised TVB model

Software pipeline from neurophysiological and brain structural connectivity data to individualised TVB model equipped with synaptic and connectivity rate constants, derived from DCM (with supporting academic papers)

D5.7 EBRAINS Infrastructure

(Prototype); includes the working EBRAINS infrastructure. An accompanying report asserts the completion of all implementation, quality assurance and delivery of the infrastructure. Interim releases of the infrastructure are presented at given milestones.

D3.5 Showcase 5 - Intermediate prototype, performing human-like object manipulation by robotic hand

Simulation of robotic hand performing object manipulation.

D1.7 Ultra-high-resolution dedicated brain PET with time-of-flight and depth of interaction detection

Dedicated brain PET (dbPET) prototype in seating/reclined position, with time-of-flight and depth of interaction detection, able to produce reconstructed images with 1.0mm spatial resolution. Brain cortex thickness is 1.5-4.5mm, containing six layers with different functions and neuro receptors. 1.0mm 3D spatial resolution will allow to assess brain functional activity at cortex layer / deep nuclei level.

D5.8 EBRAINS modeling workflows implementation status at M42

M36 status on EBRAINS implementation and procedures, including open source workflows, simulation engines for multilevel brain modeling, and outlook for post-HBP phase.

D7.6 First functional version of OP7.7 - Dashboards giving access to project management data

Release of a Project Management Dashboard for project participants, managers, and governance to have a synthetic vision of project status and progress on the individual elements of the project framework. This Deliverable will also include an update with better assistance for the verification of project metadata collected.

D3.13 Computational architecture for hierarchical cognitive processing

The release will make available to EBRAINS' user community the computational architecture developed to address the considered range of problems, with speccial emphasis on the architecture's capacity for generalization (assessed in light of the degree of transfer of relevant functions to other tasks).

D4.7 EBRAINS FAIR data services (SC1) - status at M18

Knowledge Graph release with improved functionality and extended content, and updated inventory of related FAIR data, tools and services, prepared for, or released through the EBRAINS portal.

D4.8 EBRAINS Brain Atlas Services (SC2) - status at M18

Extended brain atlases with major update of murine and first release of basic NHP atlas, new toolboxes supporting clinical and neuroimaging usecases, as well as new releases of web-based spatial anchoring and data analysis tools.

D5.11 EBRAINS Closed loop AI and robotics workflows

Neurobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D5.9 EBRAINS Closed loop AI and robotics workflows

Neurorobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D3.4 Release of scaffold model including basal ganglia, cerebellum, and cerebral cortex

Detailed basal ganglia and cerebellar network models incorporating multiple plasticity mechanisms will be simplified to obtain point neuron network models retaining the main biological learning characteristics, and integrated into a functional model together with a cortical component.

D1.8: Long-COVID mechanisms: Hypothesis for long COVID based on AI and modelling

MRI data and meta-data from MRI analysis will be available on up to 144 subjects, 40 controls and 104 COVID. Models of brain dynamics from TVB will be demonstrated and compared between COVID and control subjects. BMFs extracted from qMRI and TVB modeling will be identified to explain long-COVID symptoms. Possible long-COVID scenarios will be proposed through MIP algorithms run on the entire cohort of subjects.

D4.1 EBRAINS FAIR data services (SC1) - status at M7

Knowledge Graph release with improved functionality and extended content, and inventory of related FAIR data, tools and services, prepared for, or released through the EBRAINS portal.

D3.2 Closed-loop visuomotor architecture supporting use of saccades for object recognition

Prototype cognitive architecture, integrating heterogeneous network modules and learning methods, with applications to visuo-motor related problems, including in-hand object manipulation.

D5.1 EBRAINS Closed loop AI and robotics workflows: Status at M9

D4.16 Release of MIP 8.0 (SC5)

New release of MIP with strengthened data privacy and safety, optimized data factory and front-end, and novel federated algorithms

D3.11 Framework for plasticity and meta-plasticity learning rules

Large-scale deployment of the models and algorithms from Output 13 on available EBRAINS platforms, as well as a hybrid demonstrator exploiting the advantages of available EBRAINS platforms for learning-to-learn setups involving both synaptic plasticity and meta-plasticity.

D3.10 Framework for deep learning scheme for spike-based applications

Finalized and tested version of algorithms for advanced learning, implemented in software made available to a general audience (not limited to HBP, addressing the EBRAINS user community at large).

D5.2 EBRAINS modeling workflows implementation status at M9

M9 status on implementation procedures of interconnecting tools according to EBRAINS architecture specification, workflows and simulation engines, and mechanisms to port established SGA2 use cases into EBRAINS.

D9.2 Toolkit on equality in governance structures, procedures and implementation

Challenges to implement equality measures in the governance for an interdisciplinary, distributed partnership differ from the challenges single universities or regional projects face. The HBP has analysed and implemented suitable guidelines, structures and procedures which will be further developed according to the changes in SGA3 and evaluated with surveys and interviews. The toolkit will make the scientific background, best practice, and practical tools available for interdisciplinary projects with comparable challenges.

D5.6 EBRAINS Closed loop AI and robotics workflows: Status at M18

D4.15 EBRAINS Brain Atlas Services - status at end of SGA3 (SC2)

Updated, high-coverage brain atlases including several ultrahigh-resolution 3D regions of interest from different modalities computed on FENIX HPC facilities, along with a software development kit for atlas services, and an inventory of well integrated web-based registration and analysis tools.

D5.10 Implementation of an original workflow for allosteric drug design based on state-based pharmacology with the accurate calculation of the protein-ligand binding affinity for a defined conformation of the receptor based on HPC resources (ChemFlow,work

ChemFlow aims at preparing, running, and analyzing a virtual screening campaign based on docking with free energy rescoring, efficiently and semi-automatically. ChemFlow is currently tested on a number of protein-ligand complexes and shall be distributed freely within the end of SGA

D6.3 NMC in EBRAINS with TRL 8 software

SpiNNaker-1 system and BrainScaleS-2 small scale system with TRL 8 software support and a front-end, which is fully integrated into the EBRAINS (Collab2). SpiNNaker with NRP integration.

D6.5 Final release of the Collaboratory

Final release of the Collaboratory at TRL 9 level

D3.9 Release of spiking models of visuo-motor coordination incorporating multiple brain regions, implemented in software, neuromorphic hardware, and neurorobotics

Models incorporating retina, thalamus, brainstem, basal ganglia, cerebellum, and cerebral cortex able to perform eye, hand, and arm movements, implemented in simulation software (NEURON, NEST, LFPy) and on SpiNNaker, and demonstrated in closed-loop scenarios with neurorobotics.

D4.12 EBRAINS FAIR data services (SC1) - status at the end of SGA3

Knowledge Graph release with improved functionality and extended content, and updated inventory of related FAIR data, tools and services released through the EBRAINS portal.

D4.9 Medical Data Analytics: Human intracerebral EEG Platform (HIP) and Medical Informatics Platform (MIP) (SC5) - status at M21

First release of HIP platform with all services needed for end-users to upload, store and curate iEEG data.

D4.13 Medical Data Analytics: Human intracerebral EEG Platform (HIP) and Medical Informatics Platform (MIP) (SC5) - status at M42

A fully operational HIP platform, providing all services needed to fully manage, share and analyse iEEG data within EBRAINS according to the HIP consortium charter, with ≥ 200 fully curated iEEG datasets

D5.5 EBRAINS modeling workflows implementation status at M21

M21 status on installed workflows and simulation engines including tools interconnected according to EBRAINS architecture specification, closed-loop simulation solutions, and new release of tools interconnected by EBRAINS APIs.

D4.2 EBRAINS Brain Atlas Services (SC2) - status at M8

Updated brain atlases including full coverage of cytoarchitectonic probabilistic maps and first microscopic resolution maps for human.

D7.9 Enabling digital neuroscience: 10 years of research, co-design development, and collaboration in the Human Brain Project

Overview of HBP outputs in science, data management, technology, and medicine. Social and economic impact. Education Programme. Equality and diversity in research. Responsible research and innovation. Innovation and exploitation of results. Future progress of EBRAINS.

D3.12 Neural network architectures for relational reasoning, planning, and cognitive intelligence

A neural network architecture will be built based on the neurobiology of the primate prefrontal cortex. Its performance will be evaluated on verbal and/or nonverbal intelligence tests. The deliverable will consist of (i) an evaluation dataset; (ii) the network code; and providing (iii) a summary of results achieved.

D3.19 Blueprint for task-capable prototype

Blueprint for task-capable prototype, including written document summarizing results of activities and conclusions. The document will identify lead paradigms, likely to be derived from existing cognitive tasks in WP2-WP3, discuss, interrogate, and analyse key challenges and propose solutions leading to the creation of a blueprint guiding the proposed prototype. The discussion will also include an evaluation of how models of brain states and cognition can be optimally integrated and an evaluation of the capacity of use of neuromorphic simulation.Tasks contributing to this Deliverable: T1.11, T2.1, T2.4 and T3.1

D3.7 Handbook for RRI for adaptive networks for cognitive architectures

The deliverable contains the processes required for responsible work on adaptive networks for cognitive architectures and a description of how these have been integrated into the work of the relevant HBP activities.

D6.4 Final release of the federated HPC, Cloud and storage infrastructure for EBRAINS

Final release of the improved and enhanced federated HPC, Cloud, storage and network infrastructure and related services for EBRAINS

D3.8 Cognitive architecture with visuo-motor and advanced cognitive functions

A report detailing the architecture, biologically plausible training procedure, embodiment and performance of a biologically detailed network architecture able to perform visuo-motor and complex A.I. tasks by employing hierarchical cognitive processing. The report will further include ongoing comparisons of brain activity generated by the architecture against neuroimaging and behavioural data.

D6.2 Intermediate release of the federated HPC, Cloud and storage infrastructure for EBRAINS

Intermediate release of the improved and enhanced federated HPC, Cloud, storage and network infrastructure and related services for EBRAINS

D7.5 Final report of the SGA3 Calls for Expression of Interest (CEoI)

This Deliverable will provide an overview of the management of the Calls for Expression of Interest (CEoI) for SGA3. It will include the description of the entire process, starting from the preparation of the call documents to the evaluation of the proposals. It will also include the information on the new projects selected for EC funding and on the new partners integrated int the HBP Consortium. This deliverable will have a confidential Annex.

D8.4 Final report on delivery of the HBP Engagement Strategy highlighting activities and impact of the Communication, Partnering, Media Relations, Exploitation, and Education & Outreach teams in SGA3

Final report on delivery of the HBP Engagement Strategy highlighting activities and impact of the Communication, Partnering, Media Relations, Exploitation, and Education & Outreach teams in SGA3.

D4.11 Sustained Community Building after 2023

Status of efforts and plan for sustained Community Building after end of HBP

D2.8 Ethics and philosophy articles to act as reference of cognition and consciousness research

These articles will propose criteria to analyse broadly relevant issues on the relationships between the complex networks and emergence of consciousness as well as between human and artificial intelligence/cognition. They will provide concrete empirical, theoretical and behavioural criteria for ascribing consciousness to humans also in clinical contexts (e.g. patients who suffer from disorders of consciousness), animals, and machines. They will suggest strategies for dealing with key ethical and societal implications of the research results and broadly communicate concrete measures to connect new communities of potential users of EBRAINS from social science and the humanities.

D9.4 Ethics Strategy for international collaboration on the integration of neuroethics and neuroscience

Drawing from an overview of the main challenges faced by the different international brain initiatives whenintegrating neuroethics and neuroscience, this deliverable will propose a general strategy and methodology (result ofcollaborative work) that fosters an ethically sustainable and conceptually sound research infrastructure (EBRAINS)and can be used by other Brain projects.

D8.6: Final report on the activities of the Task Force for Science and Communications

Description: This deliverable will summarize the activities of the Task Force for Science Communication aimed at intensifying communication of scientific achievements of the HBP in the final phase of the project targeting the media and public as well as decision makers. As an appendix, the deliverable will include printed communication material highlighting the scientific achievements of the HBP produced within T8.7, specifically, a small brochure (extended leaflet) published in Q1 2022, an end-of-year report highlighting HBP scientific achievements of 2022, a final report summarizing the HBP’s scientific achievements.

D7.4 Report of the EBRAINS research infrastructure voucher programme

This Deliverable will provide an overview of the management of the EBRAINS research infrastructure voucher programme for SGA3. It will include the description of the entire process, starting from the preparation of the call documents to the evaluation of the proposals. It will also include the information on the new projects selected for implementation.

D4.10 EBRAINS Compliance and Data Management Handbook

Including Ethics Compliance, Data Governance and Data Protection.

D5.3 EBRAINS Technical Coordination Guidelines

(Report, M10)Report presenting (a) the EBRAINS Infrastructure user requirements, its detailed logical architecture, deployment planning, integration approach and guidelines, (b) the delivery processes, quality assurance procedures, mechanisms and metrics/KPIs, software and software production management tools and dependency/licensing policies. The report will be continuously updated throughout the duration of the project to reflect the evolution and alignment of the EBRAINS infrastructure.

D5.13 Selection of 3 compounds able to inhibit the NLRP3 inflammasome activation in the low micro/nanomolar range endowed with drug-like properties

The compounds identified in silico simulations will be synthesized and tested in vitro to verify the anti-inflammatory effect. Best performing compounds will be selected according to preliminary ADME experiments. At least one compound will be identified for further in vivo studies and patenting.

D9.3 Analysis on cultural considerations in RRI and neuroethics

In order to develop an ethically sustainable Research Infrastructure, the examination of environmental (cultural, symbolic, social) variations and their impact on research, ethical assessment, and policy needs to be undertaken. This delivery provides such an analysis, focusing on the more relevant considerations and offering an overview of how they can be approached and evaluated. Insights will support reflection on cultural considerations in EBRAINS and brain research more generally.

"D2.7 Use-cases integrating analysis workflows and algorithms in EBRAINS and at least 3 largely collaborative ""Live scientific papers"""

"Novel measures of perceptual integration and joint multisensory object features, network perturbation and responsiveness, neuromodulatory network impact, wave propagation, network complexity and network synchronisation will be made available to the community. They will be associated with relevant data collections and validated models. The ""live papers"" will be associated with data, analysis tools and models in EBRAINS to act as platform demonstrators of WP2 activities."

D2.2 Early version of use case for cognitive performance integrating data and models

This early Deliverable will present an early version of an integrated use case for object recognition including existing data and models as well as specific planning for development ranging from experimental data, to models, neuromorphic implementations and potential uses in robotics.

D2.6 Data-driven and validated multiscale computational models and neuromorphic implementations

Our models will be mainly mesoscopic and will be integrated into the full brain models generated in WP1. They will reproduce emergent activity in various brain states, responsiveness, sensory processing and cognitive processes, departing from vision and reaching motor manipulation. Our NEST models will be used as a benchmark for analysis workflows, for execution on HPAC platforms. Network models will be adapted for real-time or faster-than-real-time execution on neuromorphic architectures (Spinnaker and BrainScaleS). Dendritic apical amplification will be integrated.

D 3.15 Process inspired EEG pattern predicting failure-sensitivity as indicated by fMRI mapping and/or ic recordings activity

Models, developed relying on EEG/fMRI or ic/scalp EEG recordings and ML, are used to produce EEG patterns which successfully predict failure sensitivity, as indicated by fMRI mapping and/or ic recordings

D4.14 EITN Activity Report

This report will summarise the activities of the EITN, the workshops and visitor programme, as well as the information that was made available through the EITN web site.

D9.1 EBRAINS RRI Capacity Development Plan

In order to be able to implement the eventual RRI plan, the personnel of the HBP and EBRAINS will need to develop the capacity to work with and implement these policies. This delivery contains a plan detailing which capacities are needed and how they can be achieved.

D5.4 Interim EBRAINS Infrastructure Implementation Report

(Report)Interim report presenting the delivered software, quality assurance performance, and delivery progress of the infrastructure.

D2.5 Multiscale datasets available in the EBRAINS KG (Tier-3 curated, following FAIR principles)

Data ranging from dendrites and single cell electrophysiology to full brain imaging (including calcium imaging, multineuronal recording, LFPs, iEEG, microECoG, fMRI) and from different species (human, rodent, monkey) will be made available in the EBRAINS KG. These data will be generated by the different tasks and will be articulated around specific questions (cognitive tasks, brain states, network responsiveness, conscious/unconscious perception) and live papers, along with the associated data-driven and validated models.

D1.3 Multiscale human whole brain connectome data set

Data set will be available comprising multiscale connectome and microscopic resolution 3D brain areas with realistic measurements of 3D cell densities and morphologies, densities and distributions of neurotransmitter receptors, nested connectomes and axonal conduction velocities, and functional brain imaging data, all directly linked to the probabilistic maps that interface to the macroscopic scale, fully annotated and curated, and organised in the same brain reference framework.

D6.1 Online documentation of Facility Hubs concept, offers and access

Public online documentation of the Facility Hub concept, ways how to get access and information about first available pilots

D9.5 Implementing RRI in EBRAINS: website, RRI toolkit and capacity building activities

This deliverable will contain an ERBAINS RRI toolkit, an implementation handbook and outcomes of the EBRAINS RRI development. The deliverable will contain agreed upon principles and practices that EBRAINS and other projects and infrastructures can implement development.

Pubblicazioni

The cortical microcircuitry of predictions and context – a multi-scale perspective

Autori: Lars Muckli, Lucy S. Petro, Clement Abbatecola, Ahsan Adeel, Johanna Bergmann, Nicolas Deperrois, Alain Destexhe, Nikolaus Kriegeskorte, Christiaan N. Levelt, Wolfgang Maass, A. Tyler Morgan, Paolo Papale, Cyriel M. A. Pennartz, Benjamin Peters, Mihai A. Petrovici, William. A. Phillips, Pieter R. Roelfsema, Robert N.S. Sachdev, Koen Seignette, Matthew W. Self, Fraser W. Smith, Johan F. Storm, Mich
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8380094

Overview of ethical issues across the HBP (OP9.9)

Autori: Manuel Guerrero
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8395701

Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication

Autori: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Pubblicato in: 2022
Editore: arXiv

Fast and Energy-efficient Deep Neuromorphic Learning

Autori: Julian Göltz, Laura Kriener, Virginie Sabado and Mihai A. Petrovici
Pubblicato in: 2021
Editore: ERCIM EEIG

The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Autori: Johannes Schemmel
Pubblicato in: 2021
Editore: ERCIM EEIG

Complex Projects - Diverse Solutions? Theoretical Reflection, Practical Experiences, and Recommendations on Enhancing Equality, Diversity, and Inclusion in Research Projects

Autori: Grasenick, Karin, Romero, Pilar F., & Salles, Arleen.
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7756893

Software publication: yashchiki -- Container image build flow for BrainScaleS

Autori: Electronic Vision(s)
Pubblicato in: 2021
Editore: zenodo

The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing

Autori: Katrin Amunts, Markus Axer, Lise Bitsch, Jan Bjaalie, Andrea Brovelli, Svenja Caspers, Jean-Pierre Changeux, Irene Costantini, Egidio D'Angelo, Giulia De Bonis, Gustavo Deco, Javier DeFelipe, Alain Destexhe, Timo Dicksheid, Markus Diesmann, Julie Dugue, Emrah Düzel, Simon B Eickhoff, Andreas K Engel, Kathinka Evers, Jan Fousek, Stephen Furber, Rainer Goebel, Onur Güntürkün, Alban d'Exaerde De
Pubblicato in: 2022
Editore: ZENODO
DOI: 10.5281/zenodo.6630232

New Collaboration Between the HBP’s Innovation and Ethics & Society Teams

Autori: Achim Rosemann and Guillermo Vellasco
Pubblicato in: 2021
Editore: HBP - HBP Innovation Team

Spiking Neural Network Equalization for IM/DD Optical Communication

Autori: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel , Stefano Calabrò, Maxim Kuschnerov
Pubblicato in: 2022
Editore: arXiv

BrainScaleS: Greater Versatility for Neuromorphic Emulation

Autori: Andreas Baumbach, Sebastian Billaudelle , Virginie Sabado and Mihai A. Petrovici
Pubblicato in: 2021
Editore: ERCIM EEIG

Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project

Autori: Aicardi, Christine; Bitsch, Lise; Datta Burton, Saheli; Evers, Kathinka; Farisco, Michele; Mahfoud, Tara; Rose, Nikolas; Rosemann, Achim; Salles, Arleen; Stahl, Bernd; Ulnicane, Inga
Pubblicato in: 2021
Editore: HBP

Uncovering Neuronal Learning Principles through Artificial Evolution

Autori: Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici and Jakob Jordan
Pubblicato in: 2021
Editore: ERCIM EEIG

Building Brains

Autori: Steve Furber
Pubblicato in: 2021
Editore: ERCIM EEIG

Opinion on 'Responsible Dual Use' Political, Security, Intelligence and Military Research of Concern in Neuroscience and Neurotechnology

Autori: Aicardi, Christine, Bitsch, Lise, Bang Bådum, Nicklas, Datta, Saheli, Evers, Kathinka, Farisco, Michele, Fothergill, Tyr, Giordano, James, Harris, Emma, Jørgensen, Marie Louise, Klüver, Lars, Mahfoud, Tara, Rainey, Stephen, Riisgaard, Karen, Rose, Nikolas, Salles, Arleen, Stahl, Bernd, & Ulnicane, Inga.
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.4588601

Opinion and Action Plan on Data Protection and Privacy - Ethics&Society, Human Brain Project

Autori: Salles, Arleen; Stahl, Bernd; Bjaalie, Jan; Domingo-Ferrer, Josep; Rose, Nikolas; Rainey, Stephen; Spranger, Tade
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.4588467

Challenges for Achieving Responsible Data Governance in European Health Data Space

Autori: Danish Board of Technology
Pubblicato in: 2023
Editore: zenodo
DOI: 10.5281/zenodo.8358373

Ethics and Society in Brain Research: Implementing Responsible Research and Innovation (RRI) in the Human Brain Project (HBP)

Autori: Bitsch, Lise; Salles, Arleen; Evers, Kathinka; Changeux, Jean-Pierre; Stahl, Bernd; Aicardi, Christine; Burton Datta, Saheli; Mahfoud, Tara; Reinsborough, Michael; Rose, Nikolas; Klüver, Lars; Ladegaard, Sissel Fibecker; Alves, Elsa; Nordfalk, Francisca; Bådum, Nicklas; Eke, Damian; Knight, Will; Grasenick, Karin; Romero, Pilar Flores; Ulnicane, Inga; Rosemann, Achim; Ogoh, George; Matar, Amal;
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7736402

Spiking model of the head direction cell system for orientation estimation

Autori: Rachael Stentiford, Thomas C. Knowles, Martin J. Pearson
Pubblicato in: 2021
Editore: NEST Conference 2021

Social, ethical & reflective work in the Human Brain Project

Autori: HBP SP12 and WP9
Pubblicato in: 2021
Editore: Human Brain Project

Building adaptable and reusable pipelines for investigating the features of slow cortical rhythms across scales, methods, and species

Autori: Robin Gutzen, Giulia De Bonis, Elena Pastorelli, Cristiano Capone, Chiara De Luca, Glynis Mattheisen, Anna Letizia Allegra Mascaro, Francesco Resta, Francesco Saverio Pavone, Maria V. Sanchez-Vives, Maurizio Mattia, Sonja Grün, Andrew Davison, Pier Stanislao Paolucci, Michael Denker
Pubblicato in: 2020
Editore: Ludwig-Maximilians-Universität München
DOI: 10.12751/nncn.bc2020.0030

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Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System

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Comparison of Artificial and Spiking Neural Networks on Digital Hardware

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Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain

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Reciprocal interaction between striatal cholinergic and low‐threshold spiking interneurons — A computational study

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The Insula: A Stimulating Island of the Brain

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From nose to brain: The effect of lemon inhalation observed by whole brain voxel to voxel functional connectivity

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The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments

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Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution

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Neural Responsivity to Reward Versus Punishment Shortly After Trauma Predicts Long-Term Development of Posttraumatic Stress Symptoms

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Exploring Test-Retest Reliability and Longitudinal Stability of Digital Biomarkers for Parkinson Disease in the m-Power Data Set: Cohort Study

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How Active Inference Could Help Revolutionise Robotics

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Moral decisions in the age of COVID-19: Your choices really matter

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Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

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The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

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Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group

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Delineating visual, auditory and motor regions in the human brain with functional neuroimaging: a BrainMap-based meta-analytic synthesis

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Event-Based Update of Synapses in Voltage-Based Learning Rules

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Subcortical atrophy correlates with the perturbational complexity index in patients with disorders of consciousness

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From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas

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Reclaiming saliency: Rhythmic precision-modulated action and perception

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Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage

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Executive functions predict verbal fluency scores in healthy participants

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Soft-Grasping With an Anthropomorphic Robotic Hand Using Spiking Neurons

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Heritability and cross-species comparisons of human cortical functional organization asymmetry

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Whole‐brain analyses indicate the impairment of posterior integration and thalamo‐frontotemporal broadcasting in disorders of consciousness

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1024-channel electrophysiological recordings in macaque V1 and V4 during resting state

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Origin and dynamics of cortical slow oscillations

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Frameworks Enabling Ubiquitous Mixed Reality Applications Across Dynamically Adaptable Device Configurations

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BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures

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Neuronal population dynamics during motor plan cancellation in nonhuman primates

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M-current modulation of cortical slow oscillations: Network dynamics and computational modeling

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An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry

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RateML: A Code Generation Tool for Brain Network Models

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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks

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Editorial: From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise

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Experimentation, learning, and dialogue: an RRI-inspired approach to dual-use of concern

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Learning how network structure shapes decision-making for bio-inspired computing

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Learning cortical representations through perturbed and adversarial dreaming

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Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

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Reconciling the object and spatial processing views of the perirhinal cortex through task‐relevant unitization

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Scatterometry Measurements With Scattered Light Imaging Enable New Insights Into the Nerve Fiber Architecture of the Brain

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Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

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Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology

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Exploring the social, ethical, legal, and responsibility dimensions of artificial intelligence for health – a new column in Intelligent Medicine

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Event driven bio-inspired attentive system for the iCub humanoid robot on SpiNNaker

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Hippocampal place cells encode global location but not connectivity in a complex space

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Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage

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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

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Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

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Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees

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Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system

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Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation

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Conductance-based Adaptive Exponential integrate-and-fire model

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Auditory localization should be considered as a sign of minimally conscious state based on multimodal findings

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Of Ethical Frameworks and Neuroethics in Big Neuroscience Projects: A View from the HBP

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EEG Lempel-Ziv complexity varies with sleep stage, but does not seem to track dream experience

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Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography

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Naturalizing psychopathology—towards a quantitative real-world psychiatry

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DOPAMAP, high-resolution images of dopamine 1 and 2 receptor expression in developing and adult mouse brains

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SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies

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Attention for action in visual working memory

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Decoding Natural Sounds in Early “Visual” Cortex of Congenitally Blind Individuals

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About the compatibility between the perturbational complexity index and the global neuronal workspace theory of consciousness

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Linking interindividual variability in brain structure to behaviour

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Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons

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Cerebral electrometabolic coupling in disordered and normal states of consciousness

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Slow waves form expanding, memory-rich mesostates steered by local excitability in fading anesthesia

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Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate

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The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study

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Resting-state networks in the course of aging—differential insights from studies across the lifespan vs. amongst the old

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SpecSeg is a versatile toolbox that segments neurons and neurites in chronic calcium imaging datasets based on low-frequency cross-spectral power

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Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors

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Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

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Demonstrating Analog Inference on the BrainScaleS-2 Mobile System

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Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans

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A Deep Learning-Based Workflow for Dendritic Spine Segmentation

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Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility

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A Unified Framework for Neuroscience Morphological Data Visualization

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The natural axis of transmitter receptor distribution in the human cerebral cortex

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Bridging the gap between single receptor type activity and whole‐brain dynamics

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What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics

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A Spiking Neural Network Model of Rodent Head Direction Calibrated With Landmark Free Learning

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Behavioral and electrophysiological effects of network-based frontoparietal tDCS in patients with severe brain injury: A randomized controlled trial

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A Whole-Body Musculoskeletal Model of the Mouse

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SECONDs Administration Guidelines: A Fast Tool to Assess Consciousness in Brain-injured Patients

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Are friends electric? The benefits and risks of human-robot relationships

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On the structural connectivity of large-scale models of brain networks at cellular level

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Receptor-driven, multimodal mapping of cortical areas in the macaque monkey intraparietal sulcus

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The quest for multiscale brain modeling

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Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness

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Brain States and Transitions: Insights from Computational Neuroscience

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Ramping activity in the striatum

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Scaffolding layered control architectures through constraint closure: insights into brain evolution and development

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Variational learning of quantum ground states on spiking neuromorphic hardware

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Ring Attractors as the Basis of a Biomimetic Navigation System

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DataLad: distributed system for joint management of code, data, and their relationship

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A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level

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Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex

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Efficient Low-Pass Dendro-Somatic Coupling in the Apical Dendrite of Layer 5 Pyramidal Neurons in the Anterior Cingulate Cortex

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Impact of higher order network structure on emergent cortical activity

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A kernel-based method to calculate local field potentials from networks of spiking neurons

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Perirhinal input to neocortical layer 1 controls learning

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An Adaptive Generalized Leaky Integrate-and-Fire Model for Hippocampal CA1 Pyramidal Neurons and Interneurons

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Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex

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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness

Autori: Riku Ihalainen, Olivia Gosseries, Frederik Van de Steen, Federico Raimondo, Rajanikant Panda, Vincent Bonhomme, Daniele Marinazzo, Howard Bowman, Steven Laureys, Srivas Chennu
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Whole-brain propagation delays in multiple sclerosis, a combined tractography - magnetoencephalography study

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A neuroscientist’s guide to using murine brain atlases for efficient analysis and transparent reporting

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ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks

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Time to consider animal data governance: perspectives from neuroscience

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Bayesian Integration in a Spiking Neural System for Sensorimotor Control

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Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta‐Analytic Modeling

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Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

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Population receptive fields in nonhuman primates from whole-brain fMRI and large-scale neurophysiology in visual cortex

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Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and speed of saccadic eye movements

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Research Data Management and Data Sharing for Reproducible Research—Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience

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Graphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approach

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Modeling seizures: From single neurons to networks

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In search of convergent regional brain abnormality in cognitive emotion regulation: A transdiagnostic neuroimaging meta‐analysis

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The representation of occluded image regions in area V1 of monkeys and humans

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Systematic Review and Meta-analysis: Resting-State Functional Magnetic Resonance Imaging Studies of Attention-Deficit/Hyperactivity Disorder

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Transcutaneous vagal nerve stimulation to treat disorders of consciousness: Protocol for a double-blind randomized controlled trial

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Mouse visual cortex contains a region of enhanced spatial resolution

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Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

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Towards cognitive navigation: A biologically inspired calibration mechanism for the head direction cell network

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Event-based backpropagation can compute exact gradients for spiking neural networks

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Light- and Redox-Dependent Force Spectroscopy Reveals that the Interaction between Plastocyanin and Plant Photosystem I Is Favored when One Partner Is Ready for Electron Transfer

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On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread

Autori: Meysam Hashemi, Anirudh N. Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang Wang, Maxime Guye, Fabrice Bartolomei, Marmaduke M. Woodman, Viktor K. Jirsa
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Power and politics in framing bias in Artificial Intelligence policy

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Network Layer Analysis for a RL-Based Robotic Reaching Task

Autori: Benedikt Feldotto, Heiko Lengenfelder, Florian Röhrbein, Alois C. Knoll
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Nicotinic receptors: From protein allostery to computational neuropharmacology

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Ligand Unbinding Mechanisms and Kinetics for T4 Lysozyme Mutants from τRAMD Simulations

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Linking Brain Structure, Activity, and Cognitive Function through Computation

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Simplified Evaluation of CONsciousness Disorders (SECONDs) in individuals with severe brain injury: a validation study

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High-Density EEG in a Charles Bonnet Syndrome Patient during and without Visual Hallucinations: A Case-Report Study

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3D Ultrastructural Study of Synapses in the Human Entorhinal Cortex

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A Model for Structured Information Representation in Neural Networks of the Brain

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La Recherche du Temps Perdu: Timing in Somatosensation. Commentary: Somatosensation in the Brain: A Theoretical Re-evaluation and a New Model

Autori: Maria Del Vecchio, Pietro Avanzini
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Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders

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Evidence or Confidence: What Is Really Monitored during a Decision?

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Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex

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A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities

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Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

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Additive Manufacturing of Subject‐Conformal Receive Coils for Magnetic Resonance Imaging

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spiNNlink: FPGA-Based Interconnect for the Million-Core SpiNNaker System

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A GPU-based computational framework that bridges neuron simulation and artificial intelligence

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Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity

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The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.

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Framing governance for a contested emerging technology:insights from AI policy

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Computational epidemiology study of homeostatic compensation during sensorimotor aging

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Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

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A Quantitative Comparison of Inhibitory Interneuron Size and Distribution between Mouse and Macaque V1, Using Calcium-Binding Proteins

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Cortical oscillations support sampling-based computations in spiking neural networks

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Data‐driven integration of hippocampal CA1 synaptic physiology in silico

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Brain simulation augments machine‐learning–based classification of dementia

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STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale

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The web of laughter: frontal and limbic projections of the anterior cingulate cortex revealed by cortico-cortical evoked potential from sites eliciting laughter

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Behavioral Training Related Neurotransmitter Receptor Expression Dynamics in the Nidopallium Caudolaterale and the Hippocampal Formation of Pigeons

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Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays

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SLIX: A Python package for fully automated evaluation of Scattered Light Imaging measurements on brain tissue

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Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies

Autori: Inga Ulnicane, Damian Okaibedi Eke, William Knight, George Ogoh, Bernd Carsten Stahl
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Submillimeter fMRI reveals an extensive, fine-grained and functionally-relevant scene-processing network in monkeys

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Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer’s Disease Patients

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Gradients of neurotransmitter receptor expression in the macaque cortex

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Spontaneous and Perturbational Complexity in Cortical Cultures

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A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing

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An empirical evaluation of functional alignment using inter-subject decoding

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Variation in Pyramidal Cell Morphology Across the Human Anterior Temporal Lobe

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Mean-field based framework for forward modeling of LFP and MEG signals

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NFDI-Neuro: building a community for neuroscience research data management in Germany

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Noise Enhancement of Neural Information Processing

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Neuronal Cascades Shape Whole-Brain Functional Dynamics at Rest

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Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain

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Cortical Synchrony as a Mechanism of Collinear Facilitation and Suppression in Early Visual Cortex

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Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse

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Reaching and Grasping Movements in Parkinson’s Disease: A Review

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Meta-Reinforcement Learning in Nonstationary and Nonparametric Environments

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Response-code conflict in dual-task interference and its modulation by age

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Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment

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Glutamate spillover drives robust all-or-none dendritic plateau potentials—an in silico investigation using models of striatal projection neurons

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Structure-function relationships of the disease-linked A218T oxytocin receptor variant

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Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

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Auditory and Somatosensory P3 Are Complementary for the Assessment of Patients with Disorders of Consciousness

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Solving Robotic Manipulation with Sparse Reward Reinforcement Learning via Graph-Based Diversity and Proximity

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Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

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Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing

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Relationships between neurotransmitter receptor densities and expression levels of their corresponding genes in the human hippocampus

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When your brain looks older than expected: combined lifestyle risk and BrainAGE

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Deep learning networks reflect cytoarchitectonic features used in brain mapping

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Dynamics of a Mutual Inhibition Circuit between Pyramidal Neurons Compared to Human Perceptual Competition

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Influence of Processing Pipeline on Cortical Thickness Measurement

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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry

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Dynamical Mechanisms of Interictal Resting-State Functional Connectivity in Epilepsy

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Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation

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A framework and resource for global collaboration in non-human primate neuroscience

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Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats

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Decoding rapidly presented visual stimuli from prefrontal ensembles without report nor post-perceptual processing

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Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence

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A comparative study of pre‐alpha islands in the entorhinal cortex from selected primates and in lissencephaly

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Somatosensory area 3b is selectively unaffected in corticobasal syndrome: combining MRI and histology

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How ‘visual’ is the visual cortex? The interactions between the visual cortex and other sensory, motivational and motor systems as enabling factors for visual perception

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Mapping odorant sensitivities reveals a sparse but structured representation of olfactory chemical space by sensory input to the mouse olfactory bulb

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Contour proposal networks for biomedical instance segmentation

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Association between Long-Term Air Pollution, Chronic Traffic Noise, and Resting-State Functional Connectivity in the 1000BRAINS Study

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Distribution of the Noradrenaline Innervation and Adrenoceptors in the Macaque Monkey Thalamus

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Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep

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Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum

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Thalamic input to motor cortex facilitates goal-directed action initiation

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Spontaneous variations in arousal modulate subsequent visual processing and local field potential dynamics in the ferret during quiet wakefulness

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Neurobiological substrates of the positive formal thought disorder in schizophrenia revealed by seed connectome-based predictive modeling

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Evidence for absence of links between striatal dopamine synthesis capacity and working memory capacity, spontaneous eye-blink rate, and trait impulsivity

Autori: Ruben van den Bosch, Frank H Hezemans, Jessica I Määttä, Lieke Hofmans, Danae Papadopetraki, Robbert-Jan Verkes, Andre F Marquand, Jan Booij, Roshan Cools
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Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks

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Closed-Form Control With Spike Coding Networks

Autori: Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos
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Unifying turbulent dynamics framework distinguishes different brain states

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Neural substrates of sexual arousal revisited: Dependent on sex

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Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients

Autori: Martin Kocher, Christiane Jockwitz, Philipp Lohmann, Gabriele Stoffels, Christian Filss, Felix M. Mottaghy, Maximilian I. Ruge, Carolin Weiss Lucas, Roland Goldbrunner, Nadim J. Shah, Gereon R. Fink, Norbert Galldiks, Karl-Josef Langen, Svenja Caspers
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Reproducing a decision-making network in a virtual visual discrimination task

Autori: Alessandra Trapani, Francesco Jamal Sheiban, Elisa Bertone, Serena Chiosso, Luca Colombo, Matteo D'Andrea, Francesco De Santis, Francesca Fati, Veronica Fossati, Victor Gonzalez, Alessandra Pedrocchi
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Impact of GABAA and GABAB Inhibition on Cortical Dynamics and Perturbational Complexity during Synchronous and Desynchronized States

Autori: Almudena Barbero-Castillo, Pedro Mateos-Aparicio, Leonardo Dalla Porta, Alessandra Camassa, Lorena Perez-Mendez, Maria V. Sanchez-Vives
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Scale matters: The nested human connectome

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A novel task to investigate vibrotactile detection in mice

Autori: Mariel Muller, Cyriel M. A. Pennartz, Conrado A. Bosman, Umberto Olcese
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Densities and numbers of calbindin and parvalbumin positive neurons across the rat and mouse brain

Autori: Ingvild E. Bjerke, Sharon C. Yates, Arthur Laja, Menno P. Witter, Maja A. Puchades, Jan G. Bjaalie, Trygve B. Leergaard
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A Benchmark Environment for Neuromorphic Stereo Vision

Autori: Lea Steffen, Max Elfgen, Stefan Ulbrich, Arne Rönnau, Rüdiger Dillmann
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Early motor network connectivity after stroke: An interplay of general reorganization and state‐specific compensation

Autori: Theresa Paul, Lukas Hensel, Anne K. Rehme, Caroline Tscherpel, Simon B. Eickhoff, Gereon R. Fink, Christian Grefkes, Lukas J. Volz
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Virtual epileptic patient brain modeling: Relationships with seizure onset and surgical outcome

Autori: Julia Makhalova, Samuel Medina Villalon, Huifang Wang, Bernard Giusiano, Marmaduke Woodman, Christian Bénar, Maxime Guye, Viktor Jirsa, Fabrice Bartolomei
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EEG Signal Diversity Varies With Sleep Stage and Aspects of Dream Experience

Autori: Arnfinn Aamodt, André Sevenius Nilsen, Benjamin Thürer, Fatemeh Hasanzadeh Moghadam, Nils Kauppi, Bjørn Erik Juel, Johan Frederik Storm
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Brain simulation as a cloud service: The Virtual Brain on EBRAINS

Autori: Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Prodan, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo,
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Tract-specific statistics based on diffusion-weighted probabilistic tractography

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Visual-reward driven changes of movement during action execution

Autori: Angela Marti-Marca, Gustavo Deco, Ignasi Cos
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Self-Consistent Stochastic Dynamics for Finite-Size Networks of Spiking Neurons

Autori: Gianni V. Vinci, Roberto Benzi, Maurizio Mattia
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Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy

Autori: Huifang E. Wang, Marmaduke Woodman, Paul Triebkorn, Jean-Didier Lemarechal, Jayant Jha, Borana Dollomaja, Anirudh Nihalani Vattikonda, Viktor Sip, Samuel Medina Villalon, Meysam Hashemi, Maxime Guye, Julia Makhalova, Fabrice Bartolomei, Viktor Jirsa
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Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions

Autori: Emili Balaguer-Ballester, Ramon Nogueira, Juan M. Abofalia, Ruben Moreno-Bote, Maria V. Sanchez-Vives
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The inferior frontal sulcus: cortical segregation, molecular architecture and function

Autori: Sabine H. Ruland, Nicola Palomero-Gallagher, Felix Hoffsteadter, Simon B. Eickhoff, Hartmut Mohlberg, Katrin Amunts
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The fibro‐ and cyto‐architecture demarcating the border between the dentate gyrus and CA3 in sheep ( Ovis aries ) and domestic pig ( Sus scrofa domesticus )

Autori: Jan Sigurd Blackstad, Kirsten K. Osen, Trygve B. Leergaard
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Turbulent-like Dynamics in the Human Brain

Autori: Gustavo Deco, Morten L. Kringelbach
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Frontal and Cerebellar Atrophy Supports FTSD-ALS Clinical Continuum

Autori: Beatrice Pizzarotti, Fulvia Palesi, Paolo Vitali, Gloria Castellazzi, Nicoletta Anzalone, Elena Alvisi, Daniele Martinelli, Sara Bernini, Matteo Cotta Ramusino, Mauro Ceroni, Giuseppe Micieli, Elena Sinforiani, Egidio D’Angelo, Alfredo Costa, Claudia A. M. Gandini Wheeler-Kingshott
Pubblicato in: Frontiers in Aging Neuroscience, Numero 12, 2020, ISSN 1663-4365
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Cortical reorganization after motor stroke: A pilot study on differences between the upper and lower limbs

Autori: Ellen Binder, Martha Leimbach, Eva‐Maria Pool, Lukas J. Volz, Simon B. Eickhoff, Gereon R. Fink, Christian Grefkes
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The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data

Autori: Luca L. Bologna, Roberto Smiriglia, Dario Curreri, Michele Migliore
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
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Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection

Autori: Joonas A. Autio, Qi Zhu, Xiaolian Li, Matthew F. Glasser, Caspar M. Schwiedrzik, Damien A. Fair, Jan Zimmermann, Essa Yacoub, Ravi S. Menon, David C. Van Essen, Takuya Hayashi, Brian Russ, Wim Vanduffel
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On the Contribution of Neuroethics to the Ethics and Regulation of Artificial Intelligence

Autori: Michele Farisco, Kathinka Evers, Arleen Salles
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Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System

Autori: Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
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Genetic factors influencing a neurobiological substrate for psychiatric disorders

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Convergent regional brain abnormalities in behavioral variant frontotemporal dementia: A neuroimaging meta‐analysis of 73 studies

Autori: Aida Kamalian, Tina Khodadadifar, Amin Saberi, Maryam Masoudi, Julia A. Camilleri, Claudia R. Eickhoff, Mojtaba Zarei, Lorenzo Pasquini, Angela R. Laird, Peter T. Fox, Simon B. Eickhoff, Masoud Tahmasian
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Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

Autori: Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2022, ISSN 1662-5196
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Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging

Autori: Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Andreas Müller, Sascha E.A. Muenzing, Markus Axer, Rachid Deriche
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Non-Linear Frequency Dependence of Neurovascular Coupling in the Cerebellar Cortex Implies Vasodilation–Vasoconstriction Competition

Autori: Giuseppe Gagliano, Anita Monteverdi, Stefano Casali, Umberto Laforenza, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D’Angelo, Lisa Mapelli
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Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

Autori: Yonatan Sanz Perl, Carla Pallavicini, Ignacio Pérez Ipiña, Athena Demertzi, Vincent Bonhomme, Charlotte Martial, Rajanikant Panda, Jitka Annen, Agustin Ibañez, Morten Kringelbach, Gustavo Deco, Helmut Laufs, Jacobo Sitt, Steven Laureys, Enzo Tagliazucchi
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Are we really unconscious in “unconscious” states? Common assumptions revisited

Autori: Andre Sevenius Nilsen, Bjørn E. Juel, Benjamin Thürer, Arnfinn Aamodt, Johan F. Storm
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Disruption in structural–functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness

Autori: Rajanikant Panda, Aurore Thibaut, Ane Lopez-Gonzalez, Anira Escrichs, Mohamed Ali Bahri, Arjan Hillebrand, Gustavo Deco, Steven Laureys, Olivia Gosseries, Jitka Annen, Prejaas Tewarie
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Multiscale molecular simulations to investigate adenylyl cyclase‐based signaling in the brain

Autori: Siri C. van Keulen, Juliette Martin, Francesco Colizzi, Elisa Frezza, Daniel Trpevski, Nuria Cirauqui Diaz, Pietro Vidossich, Ursula Rothlisberger, Jeanette Hellgren Kotaleski, Rebecca C. Wade, Paolo Carloni
Pubblicato in: WIREs Computational Molecular Science, 2022, ISSN 1759-0884
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Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson’s Disease following Dopaminergic Treatment

Autori: Orestis Stylianou, Zalan Kaposzta, Akos Czoch, Leon Stefanovski, Andriy Yabluchanskiy, Frigyes Samuel Racz, Petra Ritter, Andras Eke, Peter Mukli
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A brain atlas of axonal and synaptic delays based on modelling of cortico-cortical evoked potentials

Autori: Jean-Didier Lemaréchal, Maciej Jedynak, Lena Trebaul, Anthony Boyer, François Tadel, Manik Bhattacharjee, Pierre Deman, Viateur Tuyisenge, Leila Ayoubian, Etienne Hugues, Blandine Chanteloup-Forêt, Carole Saubat, Raouf Zouglech, Gina Catalina Reyes Mejia, Sébastien Tourbier, Patric Hagmann, Claude Adam, Carmen Barba, Fabrice Bartolomei, Thomas Blauwblomme, Jonathan Curot, François Dubeau, Ste
Pubblicato in: Brain, 2021, ISSN 0006-8950
Editore: Oxford University Press
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Modulation of intercolumnar synchronization by endogenous electric fields in cerebral cortex

Autori: Beatriz Rebollo, Bartosz Telenczuk, Alvaro Navarro-Guzman, Alain Destexhe, Maria V. Sanchez-Vives
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Higher Order Visual Areas Enhance Stimulus Responsiveness in Mouse Primary Visual Cortex

Autori: Matthijs N Oude Lohuis, Alexis Cervan Canton, Cyriel M A Pennartz, Umberto Olcese
Pubblicato in: Cerebral Cortex, 2021, ISSN 1047-3211
Editore: Oxford University Press
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Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs

Autori: Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci
Pubblicato in: Frontiers in Computational Neuroscience, Numero 15, 2021, ISSN 1662-5188
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Cellular Mechanisms of Conscious Processing

Autori: Jaan Aru, Mototaka Suzuki, Matthew E. Larkum
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Transcutaneous Auricular Vagal Nerve Stimulation and Disorders of Consciousness: A Hypothesis for Mechanisms of Action

Autori: Marie-Michele Briand, Olivia Gosseries, Bernard Staumont, Steven Laureys, Aurore Thibaut
Pubblicato in: Frontiers in Neurology, Vol. 11, 2020, ISSN 1664-2295
Editore: Frontiers Research Foundation
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Progress towards a cellularly resolved mouse mesoconnectome is empowered by data fusion and new neuroanatomy techniques

Autori: Nestor Timonidis, Paul H.E. Tiesinga
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Perception-Action Coupling Target Tracking Control for a Snake Robot via Reinforcement Learning

Autori: Zhenshan Bing, Christian Lemke, Fabric O. Morin, Zhuangyi Jiang, Long Cheng, Kai Huang, Alois Knoll
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Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents

Autori: Federica Robertazzi, Matteo Vissani, Guido Schillaci, Egidio Falotico
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Modeling the relationship between neuronal activity and the BOLD signal: contributions from astrocyte calcium dynamics

Autori: Federico Tesler, Marja-Leena Linne, Alain Destexhe
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Generalizing Longitudinal Age Effects on Brain Structure – A Two-Study Comparison Approach

Autori: Christiane Jockwitz, Susan Mérillat, Franziskus Liem, Jessica Oschwald, Katrin Amunts, Lutz Jäncke, Svenja Caspers
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Losing the Self in Near-Death Experiences: The Experience of Ego-Dissolution

Autori: Charlotte Martial, Géraldine Fontaine, Olivia Gosseries, Robin Carhart-Harris, Christopher Timmermann, Steven Laureys, Héléna Cassol
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Comprehensive decoding mental processes from Web repositories of functional brain images

Autori: Romuald Menuet, Raphael Meudec, Jérôme Dockès, Gael Varoquaux, Bertrand Thirion
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A whole-brain model of the neural entropy increase elicited by psychedelic drugs

Autori: Rubén Herzog, Pedro A. M. Mediano, Fernando E. Rosas, Paul Lodder, Robin Carhart-Harris, Yonatan Sanz Perl, Enzo Tagliazucchi, Rodrigo Cofre
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EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery

Autori: J. Lanzone, M.A. Colombo, S. Sarasso, F. Zappasodi, M. Rosanova, M. Massimini, V. Di Lazzaro, G. Assenza
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The Neurotransmitter Receptor Architecture of the Mouse Olfactory System

Autori: Kimberley Lothmann, Katrin Amunts, Christina Herold
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Up and Down states during slow oscillations in slow-wave sleep and different levels of anesthesia

Autori: Melody Torao-Angosto, Arnau Manasanch, Maurizio Mattia, Maria V. Sanchez-Vives
Pubblicato in: Frontiers in System Neuroscience, 2021, ISSN 1662-5137
Editore: Frontiers Research Foundation
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Gray matter volume and estimated brain age gap are not linked with sleep‐disordered breathing

Autori: Bahram Mohajer, Nooshin Abbasi, Esmaeil Mohammadi, Habibolah Khazaie, Ricardo S. Osorio, Ivana Rosenzweig, Claudia R. Eickhoff, Mojtaba Zarei, Masoud Tahmasian, Simon B. Eickhoff
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A systematic review of artificial intelligence impact assessments

Autori: Bernd Carsten Stahl, Josephina Antoniou, Nitika Bhalla, Laurence Brooks, Philip Jansen, Blerta Lindqvist, Alexey Kirichenko, Samuel Marchal, Rowena Rodrigues, Nicole Santiago, Zuzanna Warso, David Wright
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In defense of decentralized research data management

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Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

Autori: Mohammad-Hassan Tayarani-Najaran, Michael Schmuker
Pubblicato in: Frontiers in Neural Circuits, Vol. 15, 2021, ISSN 1662-5110
Editore: Frontiers Research Foundation
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The influence of bilingualism on gray matter volume in the course of aging: a longitudinal study

Autori: Katharina Peitz, Johanna Stumme, Christiane Jockwitz, Nora Bittner, Svenja Caspers, Stefan Heim
Pubblicato in: Frontiers in Aging Neuroscience, Vol. 15, 2023, ISSN 1663-4365
Editore: Frontiers Research Foundation
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Editorial: The human brain multiscale imaging challenge

Autori: Irene Costantini, Markus Axer, Caroline Magnain, Patrick R. Hof
Pubblicato in: Frontiers in Neuroanatomy, Vol. 16, 2022, ISSN 1662-5129
Editore: Frontiers Research Foundation
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Case Report: Disruption of Resting-State Networks and Cognitive Deficits After Whole Brain Irradiation for Singular Brain Metastasis

Autori: Martin Kocher, Christiane Jockwitz, Christoph Lerche, Michael Sabel, Philipp Lohmann, Gabriele Stoffels, Christian Filss, Felix M. Mottaghy, Maximilian I. Ruge, Gereon R. Fink, Nadim J. Shah, Norbert Galldiks, Svenja Caspers, Karl-Josef Langen
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Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments

Autori: Zhenshan Bing, David Lerch, Kai Huang, Alois Knoll
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ISSN 0162-8828
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The Culture‐Bound Brain: Epigenetic Proaction Revisited

Autori: Kathinka Evers
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High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model

Autori: Marilyn Gatica, Fernando E. Rosas, Pedro A. M. Mediano, Ibai Diez, Stephan P. Swinnen, Patricio Orio, Rodrigo Cofré, Jesus M. Cortes
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Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform

Autori: Benedikt Feldotto, Cristian Soare, Alois Knoll, Piyanee Sriya, Sarah Astill, Marc de Kamps, Samit Chakrabarty
Pubblicato in: Frontiers in Neurorobotics, 2022, ISSN 2296-9144
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Striatal dopamine dissociates methylphenidate effects on value-based versus surprise-based reversal learning

Autori: Ruben van den Bosch, Britt Lambregts, Jessica Määttä, Lieke Hofmans, Danae Papadopetraki, Andrew Westbrook, Robbert-Jan Verkes, Jan Booij, Roshan Cools
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World models and predictive coding for cognitive and developmental robotics: frontiers and challenges

Autori: Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
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Surrogate gradients for analog neuromorphic computing

Autori: Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
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A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease

Autori: Álvaro González-Redondo, Francisco Naveros, Eduardo Ros, Jesús A. Garrido
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Cytoarchitectonic mapping of the human frontal operculum—New correlates for a variety of brain functions

Autori: Nina Unger, Martina Haeck, Simon B. Eickhoff, Julia A. Camilleri, Timo Dickscheid, Hartmut Mohlberg, Sebastian Bludau, Svenja Caspers, Katrin Amunts
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Functional (ir)relevance of posterior parietal cortex during audiovisual change detection

Autori: Matthijs N. Oude Lohuis, P. Marchesi, C.M.A. Pennartz, U. Olcese
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Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Autori: Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi-Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick J. Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen Wastling, Sirio Cocozza
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Self-consistent formulations for stochastic nonlinear neuronal dynamics

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Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape

Autori: Gustavo Deco, Morten L. Kringelbach, Aurina Arnatkeviciute, Stuart Oldham, Kristina Sabaroedin, Nigel C. Rogasch, Kevin M. Aquino, Alex Fornito
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Flexibility of Fast Brain Dynamics and Disease Severity in Amyotrophic Lateral Sclerosis

Autori: Arianna Polverino, Emahnuel Troisi Lopez, Roberta Minino, Marianna Liparoti, Antonella Romano, Francesca Trojsi, Fabio Lucidi, Leonardo Gollo, Viktor Jirsa, Giuseppe Sorrentino, Pierpaolo Sorrentino
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Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods

Autori: Ezequiel Mikulan, Simone Russo, Sara Parmigiani, Simone Sarasso, Flavia Maria Zauli, Annalisa Rubino, Pietro Avanzini, Anna Cattani, Alberto Sorrentino, Steve Gibbs, Francesco Cardinale, Ivana Sartori, Lino Nobili, Marcello Massimini, Andrea Pigorini
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What is neurorepresentationalism? From neural activity and predictive processing to multi-level representations and consciousness

Autori: Cyriel M.A. Pennartz
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The Development and Validation of the SWADOC: A Study Protocol for a Multicenter Prospective Cohort Study

Autori: Evelyne Mélotte, Marion Belorgeot, Roxanne Herr, Jessica Simon, Jean-François Kaux, Steven Laureys, Leandro R. D. Sanz, Aude Lagier, Dominique Morsomme, Frederic Pellas, Olivia Gosseries
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Decoding with confidence: Statistical control on decoder maps

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Is it left or is it right? A classification approach for investigating hemispheric differences in low and high dimensionality

Autori: Patrick Friedrich, Kaustubh R. Patil, Lisa N. Mochalski, Xuan Li, Julia A. Camilleri, Jean-Philippe Kröll, Lisa Wiersch, Simon B. Eickhoff, Susanne Weis
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AKAP79 enables calcineurin to directly suppress protein kinase A activity

Autori: Timothy W Church, Parul Tewatia, Saad Hannan, João Antunes, Olivia Eriksson, Trevor G Smart, Jeanette Hellgren Kotaleski, Matthew G Gold
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Solving the binding problem: Assemblies form when neurons enhance their firing rate—they don’t need to oscillate or synchronize

Autori: Pieter R. Roelfsema
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Epistemic Challenges of Digital Twins & Virtual Brains: Perspectives from Fundamental Neuroethics

Autori: Kathinka Evers, Arleen Salles
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Coherent Fourier scatterometry reveals nerve fiber crossings in the brain

Autori: Miriam Menzel, Silvania F. Pereira
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White Matter Microstructure Underlies the Effects of Sleep Quality and Life Stress on Depression Symptomatology in Older Adults

Autori: Changhong Li, Jan Schreiber, Nora Bittner, Shumei Li, Ruiwang Huang, Susanne Moebus, Andreas Bauer, Svenja Caspers, David Elmenhorst
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Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan

Autori: Anna Plachti, Shahrzad Kharabian, Simon B Eickhoff, Somayeh Maleki Balajoo, Felix Hoffstaedter, Deepthi P Varikuti, Christiane Jockwitz, Svenja Caspers, Katrin Amunts, Sarah Genon
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Attenuation of clinical and immunological outcomes during SARS-CoV-2 infection by ivermectin

Autori: Guilherme Dias de Melo , Françoise Lazarini , Florence Larrous , Lena Feige , Etienne Kornobis , Sylvain Levallois , Agnes Marchio , Lauriane Kergoat , David Hardy , Thomas Cokelaer , Pascal Pineau , Marc Lecuit , Pierre-Marie Lledo , Jean-Pierre Changeux, Herve Bourhy
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Comparison of Different Tissue Clearing Methods for Three-Dimensional Reconstruction of Human Brain Cellular Anatomy Using Advanced Imaging Techniques

Autori: Marina Scardigli, Luca Pesce, Niamh Brady, Giacomo Mazzamuto, Vladislav Gavryusev, Ludovico Silvestri, Patrick R. Hof, Christophe Destrieux, Irene Costantini, Francesco S. Pavone
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VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

Autori: Nicusor Cosmin-Toader, Fernando Trincado-Alonso, Luis Pastor, Marcos Garcia-Lorenzo
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Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Autori: Gilad Shapira, Mira Marcus-Kalish, Oren Amsalem, Werner Van Geit, Idan Segev, David M. Steinberg
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Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

Autori: Elias Arnold, Georg Böcherer, Florian Strasser, Eric Müller, Philipp Spilger, Sebastian Billaudelle, Johannes Weis, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
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Shrinking Bouma’s window: How to model crowding in dense displays

Autori: Alban Bornet, Adrien Doerig, Michael H. Herzog, Gregory Francis, Erik Van der Burg
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The role of network connectivity on epileptiform activity

Autori: G. Giacopelli, D. Tegolo, M. Migliore
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Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping

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Atlas-based data integration for mapping the connections and architecture of the brain

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Human neocortical expansion involves glutamatergic neuron diversification

Autori: Jim Berg, Staci A. Sorensen, Jonathan T. Ting, Jeremy A. Miller, Thomas Chartrand, Anatoly Buchin, Trygve E. Bakken, Agata Budzillo, Nick Dee, Song-Lin Ding, Nathan W. Gouwens, Rebecca D. Hodge, Brian Kalmbach, Changkyu Lee, Brian R. Lee, Lauren Alfiler, Katherine Baker, Eliza Barkan, Allison Beller, Kyla Berry, Darren Bertagnolli, Kris Bickley, Jasmine Bomben, Thomas Braun, Krissy Brouner, Tamara
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Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics

Autori: Lea Steffen, Robin Koch, Stefan Ulbrich, Arne Rönnau, Rüdiger Dillmann
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Optical Control of GABA A Receptors with a Fulgimide‐Based Potentiator

Autori: Karin Rustler, Galyna Maleeva, Alexandre M. J. Gomila, Pau Gorostiza, Piotr Bregestovski, Burkhard König
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A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations

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Tonic somatosensory responses and deficits of tactile awareness converge in the parietal operculum

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Probabilistic mapping of language networks from high frequency activity induced by direct electrical stimulation

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Italian, European, and international neuroinformatics efforts: An overview

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Kainate Receptor Activation Shapes Short-Term Synaptic Plasticity by Controlling Receptor Lateral Mobility at Glutamatergic Synapses

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Spiking neuromorphic chip learns entangled quantum states

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Rotational dynamics in motor cortex are consistent with a feedback controller

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Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

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Towards multi-modal, multi-species brain atlases: part one

Autori: Rogier B. Mars, Nicola Palomero-Gallagher
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GABAB receptors: modulation of thalamocortical dynamics and synaptic plasticity

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Brownian dynamics simulations of biomolecular diffusional association processes

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Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience

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Early identification of postpartum depression using demographic, clinical, and digital phenotyping

Autori: Lisa Hahn, Simon B. Eickhoff, Ute Habel, Elmar Stickeler, Patricia Schnakenberg, Tamme W. Goecke, Susanne Stickel, Matthias Franz, Juergen Dukart, Natalia Chechko
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Indicators and criteria of consciousness: ethical implications for the care of behaviourally unresponsive patients

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Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain

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Improving a probabilistic cytoarchitectonic atlas of auditory cortex using a novel method for inter-individual alignment

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Blood Oxygenation Level-Dependent Response to Multiple Grip Forces in Multiple Sclerosis: Going Beyond the Main Effect of Movement in Brodmann Area 4a and 4p

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Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information

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3D Analysis of the Synaptic Organization in the Entorhinal Cortex in Alzheimer’s Disease

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Optimal responsiveness and information flow in networks of heterogeneous neurons

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Special treatment of prediction errors in autism spectrum disorder

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Prediction of response to repetitive transcranial magnetic stimulation in phantom sounds based on individual brain anatomy

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The current and future contribution of neuroimaging to the understanding of disorders of consciousness

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Simulation to Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot

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Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems

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Toward a High-Resolution Reconstruction of 3D Nerve Fiber Architectures and Crossings in the Brain Using Light Scattering Measurements and Finite-Difference Time-Domain Simulations

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Multiple Poses and Thermodynamics of Ligands Targeting Protein Surfaces: The Case of Furosemide Binding to mitoNEET in Aqueous Solution

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The Aging Brain and Executive Functions Revisited: Implications from Meta-analytic and Functional-Connectivity Evidence

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JuSpace : A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

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Multiscale Approach for Computing Gated Ligand Binding from Molecular Dynamics and Brownian Dynamics Simulations

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What names for covert awareness? A systematic review

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Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts

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Myelin densities in retinotopically defined dorsal visual areas of the macaque

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Model-based whole-brain effective connectivity to study distributed cognition in health and disease

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Neuronize v2: Bridging the Gap Between Existing Proprietary Tools to Optimize Neuroscientific Workflows

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A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

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Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

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Local brain-state dependency of effective connectivity: a pilot TMS–EEG study

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PfCRT mutations conferring piperaquine resistance in falciparum malaria shape the kinetics of quinoline drug binding and transport

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Brain research challenges supercomputing

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Complete hemispherotomy leads to lateralized functional organization and lower level of consciousness in the isolated hemisphere

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Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale

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Adaptive Robot-Human Handovers With Preference Learning

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The Cultural and Social Challenge of Promoting the Professional Value of Motherhood and Fatherhood

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Neuromorphic quantum computing

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Neuroscience is ready for neuroethics engagement

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Validation of the simplified evaluation of consciousness disorders (SECONDs) scale in Mandarin

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Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer

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3D Atlas of the Pituitary Gland of the Model Fish Medaka (Oryzias latipes)

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Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness

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General Anesthesia Disrupts Complex Cortical Dynamics in Response to Intracranial Electrical Stimulation in Rats

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Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex

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Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

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Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions

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CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes

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Olfaction in Lamprey Pallium Revisited—Dual Projections of Mitral and Tufted Cells

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A taxonomy of seizure dynamotypes

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Towards modern post-coma care based on neuroscientific evidence

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Calcium Channel-Dependent Induction of Long-Term Synaptic Plasticity at Excitatory Golgi Cell Synapses of Cerebellum

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Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity

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The role of thickness inhomogeneities in hierarchical cortical folding

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EMULATING DENDRITIC COMPUTING PARADIGMS ON ANALOG NEUROMORPHIC HARDWARE

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Preservation of brain activity in unresponsive patients identifies MCS star

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Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy

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Therapies to Restore Consciousness in Patients with Severe Brain Injuries: A Gap Analysis and Future Directions

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White-matter degradation and dynamical compensation support age-related functional alterations in human brain

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Unified field theoretical approach to deep and recurrent neuronal networks

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Computational modeling of seizure spread on a cortical surface

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Post mortem mapping of connectional anatomy for the validation of diffusion MRI

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Differential mechanisms underlie trace and delay conditioning in Drosophila

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JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease

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The microcircuits of striatum in silico

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Reliability and subject specificity of personalized whole-brain dynamical models

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French Survey on Pain Perception and Management in Patients with Locked-In Syndrome

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Multisensory task demands temporally extend the causal requirement for visual cortex in perception

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Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

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Assessment and management of pain/nociception in patients with disorders of consciousness or locked-in syndrome: A narrative review

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Arpra: An Arbitrary Precision Range Analysis Library

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Fast Photoswitchable Molecular Prosthetics Control Neuronal Activity in the Cochlea

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Multimodal Representation Learning for Place Recognition using Deep Hebbian Predictive Coding

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The Optogenetic Revolution in Cerebellar Investigations

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Vitamin D and white matter hyperintensities: results of the population‐based Heinz Nixdorf Recall Study and 1000BRAINS

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T-type Ca2+ and persistent Na+ currents synergistically elevate ventral, not dorsal, entorhinal cortical stellate cell excitability

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Haptic communication optimises joint decisions and affords implicit confidence sharing

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Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness

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Ethical and Social Aspects of Neurorobotics

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Learning continuous-time working memory tasks with on-policy neural reinforcement learning

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Awake perception is associated with dedicated neuronal assemblies in the cerebral cortex

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NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

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Evidence for spreading seizure as a cause of theta-alpha activity electrographic pattern in stereo-EEG seizure recordings

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Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making

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Decreased Evoked Slow-Activity After tDCS in Disorders of Consciousness

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Advanced brain ageing in Parkinson’s disease is related to disease duration and individual impairment

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A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory

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Common functional localizers to enhance NHP & cross-species neuroscience imaging research

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Neurophysiological Correlates of a Single Session of Prefrontal tDCS in Patients with Prolonged Disorders of Consciousness: A Pilot Double-Blind Randomized Controlled Study

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Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning

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The essential role of recurrent processing for figure-ground perception in mice

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Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units

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Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions

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A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex

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Comparing Surrogates to Evaluate Precisely Timed Higher-Order Spike Correlations

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Do two negatives make a positive? Language and logic in language processing

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A robotic model of hippocampal reverse replay for reinforcement learning

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Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses

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Coordination between Eye Movement and Whisking in Head-Fixed Mice Navigating a Plus Maze

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Targeted Free Energy Perturbation Revisited: Accurate Free Energies from Mapped Reference Potentials

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Editorial: Reproducibility and Rigour in Computational Neuroscience

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Cytoarchitectonic Maps of the Human Metathalamus in 3D Space

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Electrical stimulation of the macaque ventral tegmental area drives category-selective learning without attention

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Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn

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Limited Pairings of Electrical Micro-stimulation of the Ventral Tegmental Area and a Visual Stimulus Enhance Visual Cortical Responses

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Large-scale all-optical dissection of motor cortex connectivity shows a segregated organization of mouse forelimb representations

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Robotic Manipulation in Dynamic Scenarios via Bounding-Box-Based Hindsight Goal Generation

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A Guide to Perform 3D Histology of Biological Tissues with Fluorescence Microscopy

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Analysis of Age-Dependent Alterations in Excitability Properties of CA1 Pyramidal Neurons in an APPPS1 Model of Alzheimer’s Disease

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Determination of the nanoscale electrical properties of olfactory receptor hOR1A1 and their dependence on ligand binding: Towards the development of capacitance-operated odorant biosensors

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Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

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Reversible Photocontrol of Dopaminergic Transmission in Wild-Type Animals

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Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states

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Computational Modeling of Inhibitory Transsynaptic Signaling in Hippocampal and Cortical Neurons Expressing Intrabodies Against Gephyrin

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Adaptation shapes local cortical reactivity: from bifurcation diagram and simulations to human physiological and pathological responses

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Neurophysiological Biomarkers of Persistent Post-concussive Symptoms: A Scoping Review

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Conditions for wave trains in spiking neural networks

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Active inference unifies intentional and conflict-resolution imperatives of motor control

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Cytoarchitectonic parcellation and functional characterization of four new areas in the caudal parahippocampal cortex

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Three-Dimensional Synaptic Organization of Layer III of the Human Temporal Neocortex

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A neurophenomenological approach to non-ordinary states of consciousness: hypnosis, meditation, and psychedelics

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Attractor competition enriches cortical dynamics during awakening from anesthesia

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Development and validation of an fMRI-informed EEG model of reward-related ventral striatum activation

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Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution

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Ubi-Interact: A modular approach to connecting systems

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Validation of a new approach for distinguishing anesthetized from awake state in patients using directed transfer function applied to raw EEG

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Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture

Autori: Irene Costantini, Giacomo Mazzamuto, Matteo Roffilli, Annunziatina Laurino, Filippo Maria Castelli, Mattia Neri, Giovanni Lughi, Andrea Simonetto, Erica Lazzeri, Luca Pesce, Christophe Destrieux, Ludovico Silvestri, Valerio Conti, Renzo Guerrini, Francesco Saverio Pavone
Pubblicato in: Biomedical Optics Express, Vol. 12, No. 6, 2021, ISSN 2156-7085
Editore: The Optical Society
DOI: 10.1364/boe.415555

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure

Autori: Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin
Pubblicato in: Frontiers in Neuroinformatics, Vol. 16, 2022, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2022.884180

Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science

Autori: Andrea I. Luppi, Joshua Cain, Lennart R. B. Spindler, Urszula J. Górska, Daniel Toker, Andrew E. Hudson, Emery N. Brown, Michael N. Diringer, Robert D. Stevens, Marcello Massimini, Martin M. Monti, Emmanuel A. Stamatakis, Melanie Boly, the Curing Coma Campaign and Its Contributing Collaborators
Pubblicato in: Neurocritical Care, Vol. 35, No. S1, 2021, ISSN 1541-6933
Editore: Humana Press, Inc.
DOI: 10.1007/s12028-021-01281-6

A unified resource and configurable model of the synapse proteome and its role in disease

Autori: Oksana Sorokina, Colin Mclean, Mike D. R. Croning, Katharina F. Heil, Emilia Wysocka, Xin He, David Sterratt, Seth G. N. Grant, Thomas I. Simpson, J. Douglas Armstrong
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-88945-7

Local sleep-like cortical reactivity in the awake brain after focal injury

Autori: Simone Sarasso, Sasha D’Ambrosio, Matteo Fecchio, Silvia Casarotto, Alessandro Viganò, Cristina Landi, Giulia Mattavelli, Olivia Gosseries, Matteo Quarenghi, Steven Laureys, Guya Devalle, Mario Rosanova, Marcello Massimini
Pubblicato in: Brain, Vol. 143, No. 12, 2020, ISSN 0006-8950
Editore: Oxford University Press
DOI: 10.1093/brain/awaa338

Consciousness and complexity: a consilience of evidence

Autori: Simone Sarasso, Adenauer Girardi Casali, Silvia Casarotto, Mario Rosanova, Corrado Sinigaglia, Marcello Massimini
Pubblicato in: Neuroscience of Consciousness, 2021, ISSN 2057-2107
Editore: Oxford University Press (OUP)
DOI: 10.1093/nc/niab023

Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

Autori: Sarah Hunt, Yoni Leibner, Eline J Mertens, Natalí Barros-Zulaica, Lida Kanari, Tim S Heistek, Mahesh M Karnani, Romy Aardse, René Wilbers, Djai B Heyer, Natalia A Goriounova, Matthijs B Verhoog, Guilherme Testa-Silva, Joshua Obermayer, Tamara Versluis, Ruth Benavides-Piccione, Philip de Witt-Hamer, Sander Idema, David P Noske, Johannes C Baayen, Ed S Lein, Javier DeFelipe, Henry Markram, Huibert
Pubblicato in: Cerebral Cortex, Vol. 33, No. 6, 2022, ISSN 1047-3211
Editore: Oxford University Press
DOI: 10.1093/cercor/bhac246

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Autori: Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rückert
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2021.723406

The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Autori: Sonsoles Alonso Martínez, Gustavo Deco, Gert J. Ter Horst, Joana Cabral
Pubblicato in: Frontiers in Neural Circuits, Vol. 14, 2020, ISSN 1662-5110
Editore: Frontiers Research Foundation
DOI: 10.3389/fncir.2020.570583

Revealing Whole-Brain Causality Networks During Guided Visual Searching

Autori: Christian M. Kiefer, Junji Ito, Ralph Weidner, Frank Boers, N. Jon Shah, Sonja Grün, Jürgen Dammers
Pubblicato in: Frontiers in Neuroscience, Vol. 16, 2022, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2022.826083

Tinnitus Perception in Light of a Parietal Operculo–Insular Involvement: A Review

Autori: Chloé Jaroszynski, Agnès Job, Maciej Jedynak, Olivier David, Chantal Delon-Martin
Pubblicato in: Brain Sciences, Vol. 12, No. 3, 2022, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci12030334

From deep brain phenotyping to functional atlasing

Autori: Bertrand Thirion, Alexis Thual, Ana Luísa Pinho
Pubblicato in: Current Opinion in Behavioral Sciences, Vol. 40, 2021, ISSN 2352-1546
Editore: Elsevier Limited
DOI: 10.1016/j.cobeha.2021.05.004

Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

Autori: John J. Tukker, Prateep Beed, Dietmar Schmitz, Matthew E. Larkum, Robert N. S. Sachdev
Pubblicato in: Frontiers in Systems Neuroscience, Vol. 14, 2020, ISSN 1662-5137
Editore: Frontiers Research Foundation
DOI: 10.3389/fnsys.2020.00022

Increased signal diversity/complexity of spontaneous EEG, but not evoked EEG responses, in ketamine-induced psychedelic state in humans

Autori: Nadine Farnes, Bjørn E. Juel, André S. Nilsen, Luis G. Romundstad, Johan F. Storm
Pubblicato in: PLOS ONE, Numero 15/11, 2020, Pagina/e e0242056, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0242056

Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation

Autori: Isabella Pozzi, Sander Bohté and Pieter Roelfsema
Pubblicato in: 2020
Editore: NeurIPS foundation

Motivational Modulation of Consummatory Behaviour and Learning in a Robot Model of Spatial Navigation

Autori: Alejandro Jimenez-Rodriguez, Tony J. Prescott
Pubblicato in: 2023
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39504-8_17

Robustness to Noisy Synaptic Weights in Spiking Neural Networks

Autori: Chen Li, Runze Chen, Christoforos Moutafis, Steve Furber
Pubblicato in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Pagina/e 1-8, ISBN 978-1-7281-6926-2
Editore: IEEE
DOI: 10.1109/ijcnn48605.2020.9207019

Translation and Scale Invariance for Event-Based Object tracking

Autori: Jens Egholm Pedersen, Raghav Singhal, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584996

Learning to predict cutting angles from histological human brain sections

Autori: Christian Schiffer, Luisa Schuhmacher, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2022
Editore: OpenReview

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autori: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Pubblicato in: NeurIPS 2021, 2021
Editore: Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

Simple Synthetic Memories of Robotic Touch

Autori: Pablo J. Salazar, Tony J. Prescott
Pubblicato in: 2023
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-38857-6_1

AEStream: Accelerated event-based processing with coroutines

Autori: Jens Egholm Pedersen, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584997

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing

Autori: Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/prime58259.2023.10161980

The Yin-Yang dataset

Autori: Laura Kriener, Julian Göltz, Mihai A. Petrovici
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517380

Event-based dataset for classification and pose estimation

Autori: James Turner, Jens Pedersen, Jörg Conradt, Thomas Nowotny
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517378

Towards biologically-plausible neuron models and firing rates in high-performance deep spiking neural networks

Autori: Chen Li & Steve Furber
Pubblicato in: 2021
Editore: ACM

Model-Based Nonlinear Control of a Class of Musculoskeletal Systems

Autori: Raphael Stolpe, Yannick Morel
Pubblicato in: 2023
Editore: IEEE
DOI: 10.23919/acc55779.2023.10156647

Porting Deep Spiking Q-Networks to neuromorphic chip Loihi

Autori: Mahmoud Akl, Yulia Sandamirskaya, Florian Walter, Alois Knoll
Pubblicato in: 2021
Editore: ACM
DOI: 10.1145/3477145.3477159

Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections

Autori: Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Pubblicato in: 2021
Editore: IEEE

EBRAINS CoCreate: Epidemiology and Non-Invasive Biomarkers to Improve the Understanding of Brain-Related Disorders

Autori: Augusta Bennedbæk Liljendal; Rasmus Mikkelsen; Lars Klüver; Chitaranjan Mahapatra; Igori Comarovschii; Judith Clarke; Silvana Markovska-Simoska; Marta Alvarez Ambrosio; Paola Di Maui; Serhii Tukaiev; Tanja Hasse; Anastasiia Andriievska; Carolina Ciumas
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8340222

Fast volumetric mapping of human brain slices

Autori: Luca Pesce, Annunziatina Laurino, Vladislav Gavryusev, Giacomo Mazzamuto, Giuseppe Sancataldo, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Irene Costantini, Francesco Saverio Pavone
Pubblicato in: Neurophotonics, 2020, Pagina/e 10, ISBN 9781510634930
Editore: SPIE
DOI: 10.1117/12.2555644

Characterizing emergent representations in a space of candidate learning rules for deep networks

Autori: Cao Y, Summerfield C, Saxe A.
Pubblicato in: 2020
Editore: https://papers.nips.cc/

Assessing Grasp Quality using Local Sensitivity Analysis

Autori: Michael Zechmair, Yannick Morel
Pubblicato in: 2021
Editore: IEEE
DOI: 10.1109/iros51168.2021.9636021

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Autori: Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Pubblicato in: 2022
Editore: NeurIPS Proceedings

5th HBP Student Conference on Interdisciplinary Brain Research

Autori: P. Bogdan, S. Diaz, A. Geminiani, C. Lupascu, J. E. Pedersen, I. Reiten, A. Yegenoglu, HBP Education Programme
Pubblicato in: 2021
Editore: Frontiers Media SA

Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning

Autori: Cristiano Capone, Cosimo Lupo, Paolo Muratore, Pier Stanislao Paolucci
Pubblicato in: 2022
Editore: MLResearchPress
DOI: 10.5281/zenodo.7197931

Functional Magnetic Resonance Imaging data augmentation through conditional ICA

Autori: Badr Tajini, Hugo Richard, Bertrand Thirion
Pubblicato in: 2021
Editore: MICCAI

Efficient GPU training of LSNNs using eProp

Autori: James C Knight, Thomas Nowotny
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517346

Biomorphic control for high-speed robotic applications

Autori: Yannik Stradmann, Johannes Schemmel
Pubblicato in: 2023
Editore: Frontiers Media SA

6th HBP Student Conference on Interdisciplinary Brain Research

Autori: Joana Covelo, Sandra Diaz, Alice Geminiani, Tabea Kirchner, Carmen Lupascu, Paschal Ochang, Taylan Özden, Jens Egholm Pedersen, Ingrid Reiten, Alper Yegenoglu, Alice Geminiani, Manuel Gran, Judith Kathrein, Tabea Kirchner, Paschal Ochang, Franziska Vogel.
Pubblicato in: 2022
Editore: Frontiers Media SA
DOI: 10.3389/978-2-88971-014-0

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons

Autori: Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Pubblicato in: 2021
Editore: NeurIPS

A Framework for Resolving Motivational Conflict via Attractor Dynamics

Autori: Alejandro Jimenez-Rodriguez, Tony J. Prescott, Robert Schmidt, Stuart Wilson
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_19

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Autori: S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, A. F. Kungl, T. C. Wunderlich, A. Hartel, E. Muller, O. Breitwieser, C. Mauch, M. Kleider, A. Grubl, D. Stockel, C. Pehle, A. Heimbrecht, P. Spilger, G. Kiene, V. Karasenko, W. Senn, M. A. Petrovici, J. Schemmel, K. Meier
Pubblicato in: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, Pagina/e 1-5, ISBN 978-1-7281-3320-1
Editore: IEEE
DOI: 10.1109/iscas45731.2020.9180741

The Gendered Analog-Digital Divide in Virtual Academia

Autori: K. Grasenick, S. Beranek, A.-S. Godfroy, S. Reidl, P. F. Romero, H. Schiffbänker, J. Stadlbauer, J. Trattnig, A. Wolffram, C. Wächter
Pubblicato in: 2022
Editore: Verlag der Technischen Universität Graz
DOI: 10.3217/978-3-85125-932-2-06

Massively Parallel Robot Simulations with the HBP Neurorobotics Platform

Autori: Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll
Pubblicato in: 2021
Editore: embodied-ai.org

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

Autori: Damien Drix, Nik Dennler, Michael Schmuker
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/isoen54820.2022.9789654

Insite: A Pipeline Enabling In-Transit Visualization and Analysis for Neuronal Network Simulations

Autori: Marcel Krüger, Simon Oehrl, Ali C. Demiralp, Sebastian Spreizer, Jens Bruchertseifer, Torsten W. Kuhlen, Tim Gerrits, Benjamin Weyers
Pubblicato in: 2023
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-23220-6_20

Towards in-silico robotic post-stroke rehabilitation for mice

Autori: Lorenzo Vannucci, Maria Pasquini, Cristina Spalletti, Matteo Caleo, Silvestro Micera, Cecilia Laschi, Egidio Falotico
Pubblicato in: 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Pagina/e 123-128, ISBN 978-1-7281-5073-4
Editore: IEEE
DOI: 10.1109/cbs46900.2019.9114483

Reducing the Dimension of the Configuration Space with Self Organizing Neural Networks

Autori: Lea Steffen, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2021
Editore: IEEE
DOI: 10.1109/icarm52023.2021.9536145

GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres

Autori: Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761492

Learning a Controller for Soft Robotic Arms and Testing its Generalization to New Observations, Dynamics, and Tasks

Autori: Carlo Alessi, Helmut Hauser, Alessandro Lucantonio, Egidio Falotico
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/robosoft55895.2023.10121988

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autori: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Pubblicato in: 2021
Editore: n/a

Rapid Inference of Geographical Location with an Event-based Electronic Nose

Autori: Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517381

3rd HBP Student Conference On Interdisciplinary Brain Research

Autori: Gabriel Urbain, Sandra Diaz-Pier, Marcelo Armendariz, Guillaume Bellec, Petruţ Bogdan, Andrea Santuy, Alexander van Meegen, Stefan Mittermayr, Theresa Rass
Pubblicato in: 2022
Editore: Frontiers Media SA
DOI: 10.3389/978-2-88963-596-2

Quantum many-body states: A novel neuromorphic application

Autori: Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517379

Dynamic Multi-objective Scheduling of Microservices in the Cloud

Autori: Hamid Mohammadi Fard, Radu Prodan, Felix Wolf
Pubblicato in: 2020
Editore: IEEE

A Case Study on Providing Immersive Visualization for Neuronal Network Data Using COTS Soft- and Hardware

Autori: Marcel Krüger, Qin Li, Torsten W. Kuhlen, Tim Gerrits
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/vrw58643.2023.00050

EBRAINS CoCreate: Improved Investigation of Brain-Related Disorders

Autori: Lars Klüver; Aske Palsberg; Augusta Bennedbaek; Ewa Katarzyna Ratajczak Institute of Psychology, Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University in Toruń ; Igori Comarovschii; João Miguel Alves Ferreira; Stefan Dvoretskii; William Knight; Roopa Kalsank Pai; Betina Elfving; Karen Marie Sandø Ambrosen; Anastasiia Andriievska; Lisa Maria Wu; Tanja Hasse; Bjørn H. Ebdrup
Pubblicato in: 2023
Editore: zenodo
DOI: 10.5281/zenodo.8058795

A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems

Autori: Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve Furber, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3589737.3605969

Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space

Autori: Lea Steffen, Tobias Weyer, Katharina Glück, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2022
Editore: IAS
DOI: 10.48550/arxiv.2203.09914

Easy and efficient spike-based Machine Learning with mlGeNN

Autori: James C Knight, Thomas Nowotny
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3585001

ElastiSim: A Batch-System Simulator for Malleable Workloads

Autori: Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3545008.3545046

Zero-Shot Visual Numerical Reasoning in Dual-Stream Neural Networks

Autori: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Pubblicato in: 2023
Editore: Cognitive Computational Neuroscience Society 2023

Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL

Autori: Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517376

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2

Autori: Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584993

"Learning to count visual objects by combining ""what"" and ""where"" in recurrent memory"

Autori: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Pubblicato in: 2022
Editore: MIT Press

Reactive Neural Path Planning with Dynamic Obstacle Avoidance in a Condensed Configuration Space

Autori: Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2022
Editore: IEEE

Staged deployment of interactive multi-application HPC workflows

Autori: Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser
Pubblicato in: 2019 International Conference on High Performance Computing & Simulation (HPCS), 2019, Pagina/e 305-311, ISBN 978-1-7281-4484-9
Editore: IEEE
DOI: 10.1109/hpcs48598.2019.9188104

EBRAINS CoCreate on Digital Brain Health - Research and innovation roadmaps with long-term ambitions and visions within brain resilience and disease signatures.

Autori: Francisca Nordfalk, Aske Palsberg, Lars Klüver, Augusta Bennedbæk
Pubblicato in: 2022
Editore: zenodo
DOI: 10.5281/zenodo.7919471

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting

Autori: Bojian Yin, Qinghai Guo, Federico Corradi, Sander Bohte
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3546790.3546795

7th HBP Student Conference on Interdisciplinary Brain Research

Autori: Cano-Astorga, N., Covelo, J., Diaz, S., Fusseis, J., Gran, M., Kathrein, J., Lupascu, C.A., Ochang, P., Özden, T., Pedersen, J.E., Plaza, S., Santarpia, G., Vogel, F., Yegenoglu, A.
Pubblicato in: 2023
Editore: Frontiers Media SA
DOI: 10.3389/978-2-8325-1223-4

Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping

Autori: Michael Zechmair, Yannick Morel
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/iceccme55909.2022.9988305

An accurate and flexible analog emulation of AdEx neuron dynamics in silicon

Autori: Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/icecs202256217.2022.9971058

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images

Autori: Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2022
Editore: OpenReview

Active Inference: The Free Energy Principle in Mind, Brain, and Behavior

Autori: Thomas Parr, Giovanni Pezzulo, Karl J. Friston
Pubblicato in: 2022
Editore: The MIT Press
DOI: 10.7551/mitpress/12441.001.0001

Artificial Intelligence for a Better Future

Autori: Bernd Carsten Stahl
Pubblicato in: SpringerBriefs in Research and Innovation Governance, 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-69978-9

Active Inference. The Free Energy Principle in Mind, Brain, and Behavior

Autori: Thomas Parr, Giovanni Pezzulo, Karl Friston
Pubblicato in: 2022
Editore: MIT Press

Ethics of Artificial Intelligence

Autori: Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-17040-9

Brain-Inspired Computing, 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers

Autori: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3

Responsible AI in Africa

Autori: Damian Eke, Kutoma Wakunuma, Simisola Akintoye
Pubblicato in: 2023
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-08215-3

PhD Thesis: From transistors to learning systems:circuits and algorithms for brain-inspired computing

Autori: Sebastian Billaudelle
Pubblicato in: 2022
Editore: -

Master's thesis: From Neural Network Descriptions to Neuromorphic Hardware — A Signal-Flow Graph Compiler Approach

Autori: Philipp Spilger
Pubblicato in: 2021
Editore: n/a

Bachelor's thesis: Real-time Image Classification on Analog Neuromorphic Hardware

Autori: Falk Leonard Ebert
Pubblicato in: 2021
Editore: n/a

Learning to Dream, Dreaming to Learn

Autori: Nicolas Deperrois
Pubblicato in: 2023
Editore: (No formal publisher for a PhD thesis)

Spatiotemporal dynamics of the cerebral cortex: from unconscious brain states towards consciousness

Autori: Alessandra CAMASSA (Phd Student), Mavi Sanchez-Vives (Tutor), Maurizio Mattia (Tutor)
Pubblicato in: 2021
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Bachelor Thesis: Migration and Enhancement of the Advanced Lab Course on Neuromorphic Computing

Autori: Alexander Nock
Pubblicato in: 2021
Editore: n/a

Master's thesis: Biologically Inspired Learning in Recurrent Spiking Neural Networks on Neuromorphic Hardware

Autori: Elias Arnold
Pubblicato in: 2021
Editore: n/a

Master's Thesis: Inference with Convolutional Neural Networks on Analog Neuromorphic Hardware

Autori: Arne Emmel
Pubblicato in: 2020
Editore: (No formal publisher for Master's Thesis)

Masters thesis: Towards Multi-Compartment Experiments on BrainScaleS-2

Autori: Raphael Stock
Pubblicato in: 2022
Editore: -

PhD thesis: Robust learning algorithms for spiking and rate-based neural networks

Autori: Akos F. Kungl
Pubblicato in: 2020
Editore: (No formal publisher for a PhD thesis)

Mster's thesis: Implementation of Large Scale Neural Networks on the Neuromorphic BrainScaleS-1 System

Autori: Jakob Kaiser
Pubblicato in: 2020
Editore: (No formal publisher for a Master's thesis)

PhD thesis: Natural-gradient learning for spiking neurons

Autori: Elena Kreutzer
Pubblicato in: 2021
Editore: n/a

PhD thesis: Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates

Autori: Dominik Dold
Pubblicato in: 2020
Editore: n/a

Master's thesis: Gradient Estimation With Sparse Observations for Analog Neuromorphic Hardware

Autori: Luca Blessing
Pubblicato in: 2023
Editore: -

Mechanisms and modulation of cortical rhythms and complexity

Autori: Almudena BARBERO CASTILLO (Phd Student), Mavi Sanchez-Vives (Tutor)
Pubblicato in: 2020
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach

Autori: Christian Paul Mauch
Pubblicato in: 2021
Editore: n/a

Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments

Autori: Oliver Julien Breitwieser
Pubblicato in: 2021
Editore: n/a

Bachelor's thesis: Towards Structured Data Exchange in Distributed Neuromorphic Systems

Autori: Mathis Kunold
Pubblicato in: 2020
Editore: n/a

Quantifying cellular parameters across the murine brain: New practices for integrating and analysing neuroscience data using 3D brain atlases

Autori: Ingvild Bjerke
Pubblicato in: 2021
Editore: University of Oslo

Master Thesis: On-chip calibration and closed-loop experiments on analog neuromorphic hardware

Autori: Aron Leibfried
Pubblicato in: 2021
Editore: n/a

Deep neural networks for large-scale cytoarchitectonic mapping of the human brain

Autori: Christian Schiffer
Pubblicato in: 2022
Editore: Heinrich Heine Universitaet Duesseldorf

Master thesis: The implementation of a dual-mode DAC for an SAR ADC

Autori: Milena Czierlinski
Pubblicato in: 2022
Editore: -

Cortical network dynamics in physiological and pharmacologically induced brain states

Autori: Melody Torao-Angosto (Phd Student), Mavi Sanchez-Vives (Tutor), Gemma Guillazo-Blanch (Tutor)
Pubblicato in: 2020
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Master's thesis: Input-Induced Dynamical States in Homeostatically Regulated Neuromorphic Recurrent Neural Networks

Autori: Markus Kreft
Pubblicato in: 2021
Editore: n/a

PhD Thesis: Physics of Brain Folding

Autori: Lucas de Queiroz da Costa Campos
Pubblicato in: 2021
Editore: n/a

Master thesis: Analog-to-digital conversion for mixed-signal computing: Components for a successive-approximation ADC

Autori: Philipp Dauer
Pubblicato in: 2022
Editore: -

Deep Learning in Neuronal and Neuromorphic Systems

Autori: Laura Kriener
Pubblicato in: 2023
Editore: (No formal publisher for a PhD thesis)

Bachelor Thesis: PyNN for BrainScaleS-2

Autori: Milena Czierlinski
Pubblicato in: 2020
Editore: (no formal publisher for Bachelor Thesis)

Bachelors’s Thesis : Multi-Single-Chip Training of Spiking Neural Networks with BrainScaleS-2

Autori: Jan Valentin Straub
Pubblicato in: 2023
Editore: -

Master's thesis: Robustness through Plasticity: A Homeostatic Mechanism for Spiking Sampling Networks

Autori: Timo Gierlich
Pubblicato in: 2021
Editore: n/a

Master's Thesis: Inference with Artificial Neural Networks on Neuromorphic Hardware

Autori: Johannes Weis
Pubblicato in: 2020
Editore: (No formal publisher for Master's Thesis)

Reconstruction of the Hippocampus

Autori: Armando Romani, Felix Schürmann, Henry Markram, Michele Migliore
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9_11

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks

Autori: Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-87237-3_38

Integrating Spiking Neural Networks and Deep Learning Algorithms on the Neurorobotics Platform

Autori: Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene, Fabrice O. Morin, Martin J. Pearson
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_7

Artificial intelligence in the European Union: Policy, ethics and regulation

Autori: Inga Ulnicane
Pubblicato in: The Routledge Handbook of European Integrations, 2022, ISBN 9780429262081
Editore: Routledge
DOI: 10.4324/9780429262081-19

Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters

Autori: Angelina Horn, Hamid Mohammadi Fard, Felix Wolf
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_15

Robot Self

Autori: Tony J. Prescott
Pubblicato in: 2021
Editore: Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-41610-1_205-1

Ever-changing Big Science and Research Infrastructures: Evolving European Union policy

Autori: Inga Ulnicane
Pubblicato in: Big Science and Research Infrastructures in Europe, 2020, Pagina/e 76-100, ISBN 9781839100017
Editore: Edward Elgar Publishing
DOI: 10.4337/9781839100017.00010

Fast Reverse Replays of Recent Spatiotemporal Trajectories in a Robotic Hippocampal Model

Autori: Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_37

Anatomy of the temporal lobe: From macro to micro

Autori: Daniel Zachlod, Olga Kedo, Katrin Amunts
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/b978-0-12-823493-8.00009-2

A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses

Autori: Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans, Katrin Amunts
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_1

A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis

Autori: Marcel Krüger, Simon Oehrl, Torsten Wolfgang Kuhlen, Tim Gerrits
Pubblicato in: 2023
Editore: Springer Link
DOI: 10.1007/978-3-031-40843-4_21

Accelerating Brain Simulations with the Fast Multipole Method

Autori: Hannah Nöttgen, Fabian Czappa, Felix Wolf
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_24

Accelerated Analog Neuromorphic Computing

Autori: Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-91741-8_6

Learning Policies for Continuous Control via Transition Models

Autori: Justus Huebotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-28719-0_12

Computing Extracellular Electric Potentials from Neuronal Simulations

Autori: Torbjørn V. Ness, Geir Halnes, Solveig Næss, Klas H. Pettersen, Gaute T. Einevoll
Pubblicato in: 2021
Editore: Springer Nature
DOI: 10.1007/978-3-030-89439-9_8

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware

Autori: Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel
Pubblicato in: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, Numero 1325, 2020, Pagina/e 201-212, ISBN 978-3-030-66769-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_15

Reservoirs learn to learn

Autori: Anand Subramoney, Franz Scherr, Wolfgang Maass
Pubblicato in: 2021
Editore: Springer Singapore

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

Autori: Alper Yegenoglu, Kai Krajsek, Sandra Diaz Pier, Michael Herty
Pubblicato in: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Numero 12566, 2020, Pagina/e 78-92, ISBN 978-3-030-64579-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_7

Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex

Autori: Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_4

Governance of Artificial Intelligence: Emerging international trends and policy frames

Autori: Inga Ulnicane; William Knight; Tonii Leach; Bernd Carsten Stahl; Winter-Gladys Wanjiku
Pubblicato in: 2022
Editore: Chapman and Hall/CRC
DOI: 10.1201/9780429446726-2

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain

Autori: Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_2

Bringing anatomical information into neuronal network models

Autori: van Albada, S. ; Morales-Gregorio, A. ; Bakker, R. ; Palm, G. ; Goulas, A. ; Bludau, S. ; Dickscheid, T. ; Hilgetag, C. C. ; Diesmann, M.
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9

Some reflections on the neurorights debate

Autori: Arleen Salles
Pubblicato in: 2023
Editore: UNESCO, University of Milan-Bicocca, State University of NY Downstate.

Object-Based Active Inference

Autori: Ruben S. van Bergen, Pablo Lanillos
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-28719-0_4

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Autori: Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-50371-0_4

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware

Autori: Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
Pubblicato in: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, Numero 1325, 2020, Pagina/e 189-200, ISBN 978-3-030-66769-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_14

WhiskEye: A Biomimetic Model of Multisensory Spatial Memory Based on Sensory Reconstruction

Autori: Thomas C. Knowles, Rachael Stentiford, Martin J. Pearson
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89177-0_43

Cognitive Architecture as a Service: Scaffolded Integration of Heterogeneous Models Through Event Streams

Autori: Alejandro Jimenez-Rodriguez, Julie Robillard, Tony Prescott
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_34

The governance of dual-use research in the EU

Autori: Inga Ulnicane
Pubblicato in: Emerging Security Technologies and EU Governance - Actors, Practices and Processes, 2020, Pagina/e 177-191, ISBN 9780429351846
Editore: Routledge
DOI: 10.4324/9780429351846-12

Politics and policy of Artificial Intelligence

Autori: Inga Ulnicane, Tero Erkkilä
Pubblicato in: Review of Policy Research, Vol. 40, No. 5, 2023, ISSN 1541-132X
Editore: Blackwell Publishing Inc.
DOI: 10.1111/ropr.12574

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