A smart, hybrid neural-computo device for drug discovery

Informations projet

NEUREKA

N° de convention de subvention: 863245

DOI

10.3030/863245

Projet clôturé

Date de signature de la CE 24 Septembre 2019

Date de début 1 Decembre 2019

Date de fin 31 Mai 2024

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total

€ 2 776 705,00

Contribution de l’UE

€ 2 776 704,00

Coordonné par

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Demonstrators, pilots, prototypes (4)

NEUREKA website

By month 2 we will establish the project website

1st generation 60-channels NWA

We will demonstrate the completion/operation of the 1st generation of the 60-channels NWA.

Bioengineered Synaptor: first prototype

The first prototype of the Synaptor will be ready by month 18.

Biophysical model of Synaptor

We will establish a biophysical model of the synaptor that will be used to connect the computational modelling stimulation with the NWA

Documents, reports (8)

State-of-the-art review on human iPSC-derived neurons modeling brain disease

State-of-the-art review on human iPSC-derived neurons modeling brain disease in preclinical drug discovery

Outreach activity plan

Report on our plans for outreach activities

State of the art review of micro-electrodes for neuron recording and stimulation.

State of the art review of microelectrodes used for neuron recording and stimulation

Data Management Plan

We will provide a detailed plan on how we will manage all data generated during the project. UNIPD and FORTH will work together for this deliverable, with UNIPD assuming a substantial portion of the preparatory work.

First controlled dendritic stimulation via Synaptors

First demonstration of dendritic stimulation via activation of the Synaptors

Characterization of ALD high-k dielectrics on 1D nanostructures.

The characterization of ALD highk dielectrics on 1D nanostructures will be completed and reported

Research and Implementation Plan

Formulation of the Research and Implementation Plans.

Conductive oxides / polymer characterization on 1D nanostructures.

Conductive oxides and polymer characterization on 1D nanostructures will be completed and reported

Open Research Data Pilot (1)

ORDP: Open Research Data Pilot

In this deliverable we will report on our activities for 1) Deposit selected (non-confidential) parts of our data in a research data repository (e.g. ModelDB for computational models).2) Ensure free access to the non-confidential parts of our data.3) Provide related information and/or tools for using the above mentioned data to validate our research.

Websites, patent fillings, videos etc. (1)

Web-based project management board

Web-based project management board with balanced and distributed workload

Publications

Peer reviewed articles (14)

Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit

Auteurs: Olesia M. Bilash, Spyridon Chavlis, Cara D. Johnson, Panayiota Poirazi, Jayeeta Basu
Publié dans: Cell Reports, Numéro 42, 2023, Page(s) 111962, ISSN 2211-1247
Éditeur: Cell Press
DOI: 10.1016/j.celrep.2022.111962

The dendritic engram

Auteurs: George Kastellakis; Simone Tasciotti; Ioanna Pandi; Panayiota Poirazi
Publié dans: Frontiers in Behavioral Neuroscience, Numéro 17, 2023, ISSN 1662-5153
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fnbeh.2023.1212139

Combining PEDOT:PSS Polymer Coating with Metallic 3D Nanowires Electrodes to Achieve High Electrochemical Performances for Neuronal Interfacing Applications

Auteurs: Ines Muguet, Ali Maziz, Fabrice Mathieu, Laurent Mazenq, Guilhem Larrieu
Publié dans: Advanced Materials, Numéro 35, 2023, ISSN 0935-9648
Éditeur: United Nations Industrial Developement Organization
DOI: 10.1002/adma.202302472

Plasma-Assisted Atomic Layer Deposition of IrO2 for Neuroelectronics

Auteurs: Valerio Di Palma, Andrea Pianalto, Michele Perego, Graziella Tallarida, Davide Codegoni, Marco Fanciulli
Publié dans: Nanomaterials, Numéro 13, 2023, Page(s) 976, ISSN 2079-4991
Éditeur: MDPI
DOI: 10.3390/nano13060976

Dendrites and efficiency: Optimizing performance and resource utilization

Auteurs: Roman Makarov; Michalis Pagkalos; Panayiota Poirazi
Publié dans: Current Opinion in Neurobiology, Numéro 13, 2023, ISSN 0959-4388
Éditeur: Elsevier BV
DOI: 10.1016/j.conb.2023.102812

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

Auteurs: Geiller, Tristan; Vancura, Bert; Terada, Satoshi; Troullinou, Eirini; Chavlis, Spyridon; Tsagkatakis, Grigorios; Tsakalides, Panagiotis; Ócsai, Katalin; Poirazi, Panayiota; Rózsa, Balázs J.; Losonczy, Attila
Publié dans: Neuron, Numéro 7, 2020, Page(s) 968-983.e9, ISSN 0896-6273
Éditeur: Cell Press
DOI: 10.1016/j.neuron.2020.09.013

Extracellular Recording of Entire Neural Networks Using a Dual- Mode Microelectrode Array With 19584 Electrodes and High SNR

Auteurs: Yuan, Xinyue; Hierlemann, Andreas; Frey, Urs
Publié dans: IEEE Journal of Solid-State Circuits, Numéro 11, 2021, Page(s) 2466 - 2475, ISSN 0018-9200
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSSC.2021.3066043

Hippocampal GABAergic interneurons and memory

Auteurs: Alexandra Tzilivaki, John J. Tukker, Nikolaus Maier, Panayiota Poirazi, Rosanna P. Sammons, Dietmar Schmitz
Publié dans: Neuron, Numéro 111, 2023, Page(s) 3154-3175, ISSN 0896-6273
Éditeur: Cell Press
DOI: 10.1016/j.neuron.2023.06.016

Large-Scale Monolithic Fabrication of III−V Vertical Nanowires on a Standard Si(100) Microelectronic Substrate

Auteurs: Lecestre, Aurélie; Martin, Mickael; Cristiano, Filadelfo; Baron, Thierry; Larrieu, Guilhem
Publié dans: ACS Omega, Numéro 4, 2022, Page(s) 5836–5843, ISSN 2470-1343
Éditeur: American Chemical Society
DOI: 10.1021/acsomega.1c05876

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Auteurs: Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Publié dans: Nature Communications, Numéro 14, 2023, Page(s) 131, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-022-35747-8

Drawing Inspiration from Biological Dendrites to Empower Artificial Neural Networks

Auteurs: Spyridon Chavlis; Panayiota Poirazi
Publié dans: Current Opinion in Neurobiology, Numéro 1, 2021, Page(s) 1-10, ISSN 0959-4388
Éditeur: Elsevier BV
DOI: 10.5281/zenodo.7648693

Real‐Time and High‐Resolution Monitoring of Neuronal Electrical Activity and pH Variations Based on the Co‐Integration of Nanoelectrodes and Chem‐FinFETs

Auteurs: Luca Bettamin, Fabrice Mathieu, Florent H. Marty, Marie Charline Blatche, Daniel Gonzalez‐Dunia, Elsa Suberbielle, Guilhem Larrieu
Publié dans: Small, Numéro 20, 2024, ISSN 1613-6810
Éditeur: Wiley - V C H Verlag GmbbH & Co.
DOI: 10.1002/smll.202309055

A Locus Coeruleus- dorsal CA1 dopaminergic circuit modulates memory linking

Auteurs: Chowdhury, Ananya; Luchetti, Alessandro; Fernandes, Giselle; Filho, Daniel Almeida; Kastellakis, George; Tzilivaki, Alexandra; Ramirez, Erica M; Tran, Mary Y; Poirazi, Panayiota; Silva, Alcino J
Publié dans: Neuron, Numéro 1, 2022, Page(s) 3374-3388.e8, ISSN 0896-6273
Éditeur: Cell Press
DOI: 10.1016/j.neuron.2022.08.001

Leveraging dendritic properties to advance machine learning and neuro-inspired computing

Auteurs: Michalis Pagkalos, Roman Makarov, Panayiota Poirazi
Publié dans: Current Opinion in Neurobiology, Numéro 85, 2024, Page(s) 102853, ISSN 0959-4388
Éditeur: Elsevier BV
DOI: 10.1016/j.conb.2024.102853

Other (2)

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks

Auteurs: Nikos Malakasis; Spyridon Chavlis; Panayiota Poirazi
Publié dans: BioRxiv, Numéro 4, 2023
Éditeur: BioRxiv
DOI: 10.1101/2023.05.22.541722

Dendrites endow artificial neural networks with accurate, robust and parameter efficient learning

Auteurs: Chavlis, Spyridon; Poirazi, Panayiota
Publié dans: arxiv, Numéro 3, 2024
Éditeur: arxiv
DOI: 10.48550/arxiv.2404.03708

Conference proceedings (1)

A 0.46 nV/√Hz JFET Low-Noise Amplifier for Characterization of Nanoelectrode Coating Materials

Auteurs: Elia A. Vallicelli; Valerio Di Palma; Marcello De Matteis; Andrea Baschirotto; Marco Fanciulli
Publié dans: 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Numéro 4, 2022, Page(s) 1-4, ISBN 978-1-6654-8823-5
Éditeur: IEEE
DOI: 10.1109/icecs202256217.2022.9970943

Droits de propriété intellectuelle

Patent (1)

NANOSTRUCTURE PLATFORM FOR CELLULAR INTERFACING AND CORRESPONDING MANUFACTURING PROCESS

Numéro de demande/publication: 18 808036
Date: 2018-12-03
Demandeur(s): CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS