Deliverables
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 - DEMO4.1Proof 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 handSimulation of in-hand performing in-object manipulation.
D6.7 Health Data CloudDemonstrator of the Health Data Cloud functional platform
D5.12 Upper limb Closed-loop neurorehabilitation simulatorPrototype 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 ShowcasesShowcase 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 functionsRelease 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 solutionsA 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 - DEMO4.2Advanced 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 2A 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 2A 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 2Software 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 modelsDemonstrators 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 handSimulation of robotic hand performing human-like digit configurations.
D1.6 Software pipeline from neurophysiological and brain structural connectivity data to individualised TVB modelSoftware 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 handSimulation of robotic hand performing object manipulation.
D1.7 Ultra-high-resolution dedicated brain PET with time-of-flight and depth of interaction detectionDedicated 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.
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 dataRelease 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 processingThe 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 M18Knowledge 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 M18Extended 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 workflowsNeurobotics 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 workflowsNeurorobotics 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 cortexDetailed 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 modellingMRI 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 M7Knowledge 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 recognitionPrototype 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 M9Neurorobotics 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.
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 rulesLarge-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 applicationsFinalized 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 M9M9 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 implementationChallenges 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 M18Neurorobotics 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.
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,workChemFlow 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 softwareSpiNNaker-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 CollaboratoryFinal 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 neuroroboticsModels 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 SGA3Knowledge 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 M21First 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 M42A 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 M21M21 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 M8Updated brain atlases including full coverage of cytoarchitectonic probabilistic maps and first microscopic resolution maps for human.
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 intelligenceA 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 prototypeBlueprint 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 architecturesThe 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 EBRAINSFinal 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 functionsA 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 EBRAINSIntermediate 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 SGA3Final 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 2023Status 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 researchThese 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 neuroscienceDrawing 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 CommunicationsDescription: 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 programmeThis 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 HandbookIncluding 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 propertiesThe 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 neuroethicsIn 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 modelsThis 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 implementationsOur 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 activityModels, 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 ReportThis 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 PlanIn 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.
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 activitiesThis 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.
Publications
Author(s):
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
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2023
Publisher:
Zenodo
DOI:
10.5281/zenodo.8380094
Author(s):
Manuel Guerrero
Published in:
2023
Publisher:
Zenodo
DOI:
10.5281/zenodo.8395701
Author(s):
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Published in:
2022
Publisher:
arXiv
Author(s):
Julian Göltz, Laura Kriener, Virginie Sabado and Mihai A. Petrovici
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2021
Publisher:
ERCIM EEIG
Author(s):
Johannes Schemmel
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2021
Publisher:
ERCIM EEIG
Author(s):
Grasenick, Karin, Romero, Pilar F., & Salles, Arleen.
Published in:
2023
Publisher:
Zenodo
DOI:
10.5281/zenodo.7756893
Author(s):
Electronic Vision(s)
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2021
Publisher:
zenodo
Author(s):
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
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2022
Publisher:
ZENODO
DOI:
10.5281/zenodo.6630232
Author(s):
Achim Rosemann and Guillermo Vellasco
Published in:
2021
Publisher:
HBP - HBP Innovation Team
Author(s):
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel , Stefano Calabrò, Maxim Kuschnerov
Published in:
2022
Publisher:
arXiv
Author(s):
Andreas Baumbach, Sebastian Billaudelle , Virginie Sabado and Mihai A. Petrovici
Published in:
2021
Publisher:
ERCIM EEIG
Author(s):
Aicardi, Christine; Bitsch, Lise; Datta Burton, Saheli; Evers, Kathinka; Farisco, Michele; Mahfoud, Tara; Rose, Nikolas; Rosemann, Achim; Salles, Arleen; Stahl, Bernd; Ulnicane, Inga
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2021
Publisher:
HBP
Author(s):
Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici and Jakob Jordan
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2021
Publisher:
ERCIM EEIG
Author(s):
Steve Furber
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2021
Publisher:
ERCIM EEIG
Author(s):
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.
Published in:
2021
Publisher:
Zenodo
DOI:
10.5281/zenodo.4588601
Author(s):
Salles, Arleen; Stahl, Bernd; Bjaalie, Jan; Domingo-Ferrer, Josep; Rose, Nikolas; Rainey, Stephen; Spranger, Tade
Published in:
2021
Publisher:
Zenodo
DOI:
10.5281/zenodo.4588467
Author(s):
Danish Board of Technology
Published in:
2023
Publisher:
zenodo
DOI:
10.5281/zenodo.8358373
Author(s):
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;
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2023
Publisher:
Zenodo
DOI:
10.5281/zenodo.7736402
Author(s):
Rachael Stentiford, Thomas C. Knowles, Martin J. Pearson
Published in:
2021
Publisher:
NEST Conference 2021
Author(s):
HBP SP12 and WP9
Published in:
2021
Publisher:
Human Brain Project
Author(s):
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
Published in:
2020
Publisher:
Ludwig-Maximilians-Universität München
DOI:
10.12751/nncn.bc2020.0030
Author(s):
Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, Vitali Karasenko, Aron Leibfried, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel, Miguel A. Muñoz, Viola Priesemann, Johannes Zierenberg
Published in:
2022
Publisher:
arXiv
Author(s):
Johannes Schemmel
Published in:
2021
Publisher:
imec
Author(s):
Jean-Jacques Hublin, Jean-Pierre Changeux
Published in:
Comptes Rendus. Biologies, Vol. 345, No. 2, 2022, ISSN 1768-3238
Publisher:
Cellule MathDoc/CEDRAM
DOI:
10.5802/crbiol.92
Author(s):
Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai A Petrovici
Published in:
eLife, Vol. 10, 2021, ISSN 2050-084X
Publisher:
eLife Sciences Publications
DOI:
10.7554/elife.66273
Author(s):
Alberto Antonietti, Alice Geminiani, Edoardo Negri, Egidio D'Angelo, Claudia Casellato, Alessandra Pedrocchi
Published in:
Frontiers in Neurorobotics, Vol. 16, 2022, ISSN 1662-5218
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2022.817948
Author(s):
Andrea Vázquez, Narciso López-López, Alexis Sánchez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara
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NeuroImage, Issue 220, 2020, Page(s) 117070, ISSN 1053-8119
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Academic Press
DOI:
10.1016/j.neuroimage.2020.117070
Author(s):
Simon Davidson, Steve B. Furber
Published in:
Frontiers in Neuroscience, Vol. 15, 2021, ISSN 1662-453X
Publisher:
Frontiers Media SA
DOI:
10.3389/fnins.2021.651141
Author(s):
Leon Stefanovski, Jil Mona Meier, Roopa Kalsank Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony Randal McIntosh, Petra Ritter
Published in:
Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fninf.2021.630172
Author(s):
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Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
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2022
Publisher:
NeurIPS Proceedings
Author(s):
P. Bogdan, S. Diaz, A. Geminiani, C. Lupascu, J. E. Pedersen, I. Reiten, A. Yegenoglu, HBP Education Programme
Published in:
2021
Publisher:
Frontiers Media SA
Author(s):
Cristiano Capone, Cosimo Lupo, Paolo Muratore, Pier Stanislao Paolucci
Published in:
2022
Publisher:
MLResearchPress
DOI:
10.5281/zenodo.7197931
Author(s):
Badr Tajini, Hugo Richard, Bertrand Thirion
Published in:
2021
Publisher:
MICCAI
Author(s):
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Published in:
2022
Publisher:
ACM
DOI:
10.1145/3517343.3517346
Author(s):
Yannik Stradmann, Johannes Schemmel
Published in:
2023
Publisher:
Frontiers Media SA
Author(s):
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.
Published in:
2022
Publisher:
Frontiers Media SA
DOI:
10.3389/978-2-88971-014-0
Author(s):
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Published in:
2021
Publisher:
NeurIPS
Author(s):
Alejandro Jimenez-Rodriguez, Tony J. Prescott, Robert Schmidt, Stuart Wilson
Published in:
2020
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-64313-3_19
Author(s):
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
Published in:
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, Page(s) 1-5, ISBN 978-1-7281-3320-1
Publisher:
IEEE
DOI:
10.1109/iscas45731.2020.9180741
Author(s):
K. Grasenick, S. Beranek, A.-S. Godfroy, S. Reidl, P. F. Romero, H. Schiffbänker, J. Stadlbauer, J. Trattnig, A. Wolffram, C. Wächter
Published in:
2022
Publisher:
Verlag der Technischen Universität Graz
DOI:
10.3217/978-3-85125-932-2-06
Author(s):
Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll
Published in:
2021
Publisher:
embodied-ai.org
Author(s):
Damien Drix, Nik Dennler, Michael Schmuker
Published in:
2022
Publisher:
IEEE
DOI:
10.1109/isoen54820.2022.9789654
Author(s):
Marcel Krüger, Simon Oehrl, Ali C. Demiralp, Sebastian Spreizer, Jens Bruchertseifer, Torsten W. Kuhlen, Tim Gerrits, Benjamin Weyers
Published in:
2023
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-23220-6_20
Author(s):
Lorenzo Vannucci, Maria Pasquini, Cristina Spalletti, Matteo Caleo, Silvestro Micera, Cecilia Laschi, Egidio Falotico
Published in:
2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Page(s) 123-128, ISBN 978-1-7281-5073-4
Publisher:
IEEE
DOI:
10.1109/cbs46900.2019.9114483
Author(s):
Lea Steffen, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Published in:
2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2021
Publisher:
IEEE
DOI:
10.1109/icarm52023.2021.9536145
Author(s):
Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
Published in:
2022
Publisher:
IEEE
DOI:
10.1109/isbi52829.2022.9761492
Author(s):
Carlo Alessi, Helmut Hauser, Alessandro Lucantonio, Egidio Falotico
Published in:
2023
Publisher:
IEEE
DOI:
10.1109/robosoft55895.2023.10121988
Author(s):
Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Published in:
2021
Publisher:
n/a
Author(s):
Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3517343.3517381
Author(s):
Gabriel Urbain, Sandra Diaz-Pier, Marcelo Armendariz, Guillaume Bellec, Petruţ Bogdan, Andrea Santuy, Alexander van Meegen, Stefan Mittermayr, Theresa Rass
Published in:
2022
Publisher:
Frontiers Media SA
DOI:
10.3389/978-2-88963-596-2
Author(s):
Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3517343.3517379
Author(s):
Hamid Mohammadi Fard, Radu Prodan, Felix Wolf
Published in:
2020
Publisher:
IEEE
Author(s):
Marcel Krüger, Qin Li, Torsten W. Kuhlen, Tim Gerrits
Published in:
2023
Publisher:
IEEE
DOI:
10.1109/vrw58643.2023.00050
Author(s):
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
Published in:
2023
Publisher:
zenodo
DOI:
10.5281/zenodo.8058795
Author(s):
Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve Furber, Jorg Conradt
Published in:
2023
Publisher:
ACM
DOI:
10.1145/3589737.3605969
Author(s):
Lea Steffen, Tobias Weyer, Katharina Glück, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Published in:
2022
Publisher:
IAS
DOI:
10.48550/arxiv.2203.09914
Author(s):
James C Knight, Thomas Nowotny
Published in:
2023
Publisher:
ACM
DOI:
10.1145/3584954.3585001
Author(s):
Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3545008.3545046
Author(s):
Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Published in:
2023
Publisher:
Cognitive Computational Neuroscience Society 2023
Author(s):
Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3517343.3517376
Author(s):
Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
Published in:
2023
Publisher:
ACM
DOI:
10.1145/3584954.3584993
Author(s):
Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Published in:
2022
Publisher:
MIT Press
Author(s):
Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Published in:
2022
Publisher:
IEEE
Author(s):
Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser
Published in:
2019 International Conference on High Performance Computing & Simulation (HPCS), 2019, Page(s) 305-311, ISBN 978-1-7281-4484-9
Publisher:
IEEE
DOI:
10.1109/hpcs48598.2019.9188104
Author(s):
Francisca Nordfalk, Aske Palsberg, Lars Klüver, Augusta Bennedbæk
Published in:
2022
Publisher:
zenodo
DOI:
10.5281/zenodo.7919471
Author(s):
Bojian Yin, Qinghai Guo, Federico Corradi, Sander Bohte
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3546790.3546795
Author(s):
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.
Published in:
2023
Publisher:
Frontiers Media SA
DOI:
10.3389/978-2-8325-1223-4
Author(s):
Michael Zechmair, Yannick Morel
Published in:
2022
Publisher:
IEEE
DOI:
10.1109/iceccme55909.2022.9988305
Author(s):
Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
Published in:
2022
Publisher:
IEEE
DOI:
10.1109/icecs202256217.2022.9971058
Author(s):
Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Published in:
2022
Publisher:
OpenReview
Author(s):
Thomas Parr, Giovanni Pezzulo, Karl J. Friston
Published in:
2022
Publisher:
The MIT Press
DOI:
10.7551/mitpress/12441.001.0001
Author(s):
Bernd Carsten Stahl
Published in:
SpringerBriefs in Research and Innovation Governance, 2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-69978-9
Author(s):
Thomas Parr, Giovanni Pezzulo, Karl Friston
Published in:
2022
Publisher:
MIT Press
Author(s):
Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-17040-9
Author(s):
Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Published in:
2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-82427-3
Author(s):
Damian Eke, Kutoma Wakunuma, Simisola Akintoye
Published in:
2023
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-08215-3
Author(s):
Sebastian Billaudelle
Published in:
2022
Publisher:
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Author(s):
Philipp Spilger
Published in:
2021
Publisher:
n/a
Author(s):
Falk Leonard Ebert
Published in:
2021
Publisher:
n/a
Author(s):
Nicolas Deperrois
Published in:
2023
Publisher:
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Author(s):
Alessandra CAMASSA (Phd Student), Mavi Sanchez-Vives (Tutor), Maurizio Mattia (Tutor)
Published in:
2021
Publisher:
Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut
Author(s):
Alexander Nock
Published in:
2021
Publisher:
n/a
Author(s):
Elias Arnold
Published in:
2021
Publisher:
n/a
Author(s):
Arne Emmel
Published in:
2020
Publisher:
(No formal publisher for Master's Thesis)
Author(s):
Raphael Stock
Published in:
2022
Publisher:
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Author(s):
Akos F. Kungl
Published in:
2020
Publisher:
(No formal publisher for a PhD thesis)
Author(s):
Jakob Kaiser
Published in:
2020
Publisher:
(No formal publisher for a Master's thesis)
Author(s):
Elena Kreutzer
Published in:
2021
Publisher:
n/a
Author(s):
Dominik Dold
Published in:
2020
Publisher:
n/a
Author(s):
Luca Blessing
Published in:
2023
Publisher:
-
Author(s):
Almudena BARBERO CASTILLO (Phd Student), Mavi Sanchez-Vives (Tutor)
Published in:
2020
Publisher:
Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut
Author(s):
Christian Paul Mauch
Published in:
2021
Publisher:
n/a
Author(s):
Oliver Julien Breitwieser
Published in:
2021
Publisher:
n/a
Author(s):
Mathis Kunold
Published in:
2020
Publisher:
n/a
Author(s):
Ingvild Bjerke
Published in:
2021
Publisher:
University of Oslo
Author(s):
Aron Leibfried
Published in:
2021
Publisher:
n/a
Author(s):
Christian Schiffer
Published in:
2022
Publisher:
Heinrich Heine Universitaet Duesseldorf
Author(s):
Milena Czierlinski
Published in:
2022
Publisher:
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Author(s):
Melody Torao-Angosto (Phd Student), Mavi Sanchez-Vives (Tutor), Gemma Guillazo-Blanch (Tutor)
Published in:
2020
Publisher:
Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut
Author(s):
Markus Kreft
Published in:
2021
Publisher:
n/a
Author(s):
Lucas de Queiroz da Costa Campos
Published in:
2021
Publisher:
n/a
Author(s):
Philipp Dauer
Published in:
2022
Publisher:
-
Author(s):
Laura Kriener
Published in:
2023
Publisher:
(No formal publisher for a PhD thesis)
Author(s):
Milena Czierlinski
Published in:
2020
Publisher:
(no formal publisher for Bachelor Thesis)
Author(s):
Jan Valentin Straub
Published in:
2023
Publisher:
-
Author(s):
Timo Gierlich
Published in:
2021
Publisher:
n/a
Author(s):
Johannes Weis
Published in:
2020
Publisher:
(No formal publisher for Master's Thesis)
Author(s):
Armando Romani, Felix Schürmann, Henry Markram, Michele Migliore
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-89439-9_11
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Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Published in:
2021
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Springer
DOI:
10.1007/978-3-030-87237-3_38
Author(s):
Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene, Fabrice O. Morin, Martin J. Pearson
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-20470-8_7
Author(s):
Inga Ulnicane
Published in:
The Routledge Handbook of European Integrations, 2022, ISBN 9780429262081
Publisher:
Routledge
DOI:
10.4324/9780429262081-19
Author(s):
Angelina Horn, Hamid Mohammadi Fard, Felix Wolf
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-12597-3_15
Author(s):
Tony J. Prescott
Published in:
2021
Publisher:
Springer Berlin Heidelberg
DOI:
10.1007/978-3-642-41610-1_205-1
Author(s):
Inga Ulnicane
Published in:
Big Science and Research Infrastructures in Europe, 2020, Page(s) 76-100, ISBN 9781839100017
Publisher:
Edward Elgar Publishing
DOI:
10.4337/9781839100017.00010
Author(s):
Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
Published in:
2020
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-64313-3_37
Author(s):
Daniel Zachlod, Olga Kedo, Katrin Amunts
Published in:
2022
Publisher:
Elsevier
DOI:
10.1016/b978-0-12-823493-8.00009-2
Author(s):
Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans, Katrin Amunts
Published in:
2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-82427-3_1
Author(s):
Marcel Krüger, Simon Oehrl, Torsten Wolfgang Kuhlen, Tim Gerrits
Published in:
2023
Publisher:
Springer Link
DOI:
10.1007/978-3-031-40843-4_21
Author(s):
Hannah Nöttgen, Fabian Czappa, Felix Wolf
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-031-12597-3_24
Author(s):
Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis
Published in:
2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-91741-8_6
Author(s):
Justus Huebotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
Published in:
2023
Publisher:
Springer
DOI:
10.1007/978-3-031-28719-0_12
Author(s):
Torbjørn V. Ness, Geir Halnes, Solveig Næss, Klas H. Pettersen, Gaute T. Einevoll
Published in:
2021
Publisher:
Springer Nature
DOI:
10.1007/978-3-030-89439-9_8
Author(s):
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
Published 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, Issue 1325, 2020, Page(s) 201-212, ISBN 978-3-030-66769-6
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-66770-2_15
Author(s):
Anand Subramoney, Franz Scherr, Wolfgang Maass
Published in:
2021
Publisher:
Springer Singapore
Author(s):
Alper Yegenoglu, Kai Krajsek, Sandra Diaz Pier, Michael Herty
Published in:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Issue 12566, 2020, Page(s) 78-92, ISBN 978-3-030-64579-3
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-64580-9_7
Author(s):
Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
Published in:
2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-82427-3_4
Author(s):
Inga Ulnicane; William Knight; Tonii Leach; Bernd Carsten Stahl; Winter-Gladys Wanjiku
Published in:
2022
Publisher:
Chapman and Hall/CRC
DOI:
10.1201/9780429446726-2
Author(s):
Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts
Published in:
2021
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-82427-3_2
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van Albada, S. ; Morales-Gregorio, A. ; Bakker, R. ; Palm, G. ; Goulas, A. ; Bludau, S. ; Dickscheid, T. ; Hilgetag, C. C. ; Diesmann, M.
Published in:
2022
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-89439-9
Author(s):
Arleen Salles
Published in:
2023
Publisher:
UNESCO, University of Milan-Bicocca, State University of NY Downstate.
Author(s):
Ruben S. van Bergen, Pablo Lanillos
Published in:
2023
Publisher:
Springer
DOI:
10.1007/978-3-031-28719-0_4
Author(s):
Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann
Published in:
2020
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-50371-0_4
Author(s):
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
Published 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, Issue 1325, 2020, Page(s) 189-200, ISBN 978-3-030-66769-6
Publisher:
Springer International Publishing
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10.1007/978-3-030-66770-2_14
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Thomas C. Knowles, Rachael Stentiford, Martin J. Pearson
Published in:
2021
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Springer International Publishing
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10.1007/978-3-030-89177-0_43
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Alejandro Jimenez-Rodriguez, Julie Robillard, Tony Prescott
Published in:
2022
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Springer International Publishing
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10.1007/978-3-031-20470-8_34
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Inga Ulnicane
Published in:
Emerging Security Technologies and EU Governance - Actors, Practices and Processes, 2020, Page(s) 177-191, ISBN 9780429351846
Publisher:
Routledge
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10.4324/9780429351846-12
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Inga Ulnicane, Tero Erkkilä
Published in:
Review of Policy Research, Vol. 40, No. 5, 2023, ISSN 1541-132X
Publisher:
Blackwell Publishing Inc.
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10.1111/ropr.12574
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