A smart, hybrid neural-computo device for drug discovery

Informazioni relative al progetto

NEUREKA

ID dell’accordo di sovvenzione: 863245

DOI 10.3030/863245

Progetto chiuso

Data della firma CE 24 Settembre 2019

Data di avvio 1 Dicembre 2019

Data di completamento 31 Maggio 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale € 2 776 705,00

Contributo UE € 2 776 704,00

Coordinato da

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

Risultati finali

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

Pubblicazioni

Peer reviewed articles (10)

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

Autori: Olesia M. Bilash, Spyridon Chavlis, Cara D. Johnson, Panayiota Poirazi, Jayeeta Basu
Pubblicato in: Cell Reports, Numero 42, 2023, Pagina/e 111962, ISSN 2211-1247
Editore: Cell Press
DOI: 10.1016/j.celrep.2022.111962

The dendritic engram

Autori: George Kastellakis; Simone Tasciotti; Ioanna Pandi; Panayiota Poirazi
Pubblicato in: Frontiers in Behavioral Neuroscience, Numero 17, 2023, ISSN 1662-5153
Editore: Frontiers Research Foundation
DOI: 10.3389/fnbeh.2023.1212139

Dendrites and efficiency: Optimizing performance and resource utilization

Autori: Roman Makarov; Michalis Pagkalos; Panayiota Poirazi
Pubblicato in: Current Opinion in Neurobiology, Numero 13, 2023, ISSN 0959-4388
Editore: Elsevier BV
DOI: 10.1016/j.conb.2023.102812

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

Autori: Geiller, Tristan; Vancura, Bert; Terada, Satoshi; Troullinou, Eirini; Chavlis, Spyridon; Tsagkatakis, Grigorios; Tsakalides, Panagiotis; Ócsai, Katalin; Poirazi, Panayiota; Rózsa, Balázs J.; Losonczy, Attila
Pubblicato in: Neuron, Numero 7, 2020, Pagina/e 968-983.e9, ISSN 0896-6273
Editore: 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

Autori: Yuan, Xinyue; Hierlemann, Andreas; Frey, Urs
Pubblicato in: IEEE Journal of Solid-State Circuits, Numero 11, 2021, Pagina/e 2466 - 2475, ISSN 0018-9200
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSSC.2021.3066043

Hippocampal GABAergic interneurons and memory

Autori: Alexandra Tzilivaki, John J. Tukker, Nikolaus Maier, Panayiota Poirazi, Rosanna P. Sammons, Dietmar Schmitz
Pubblicato in: Neuron, Numero 111, 2023, Pagina/e 3154-3175, ISSN 0896-6273
Editore: 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

Autori: Lecestre, Aurélie; Martin, Mickael; Cristiano, Filadelfo; Baron, Thierry; Larrieu, Guilhem
Pubblicato in: ACS Omega, Numero 4, 2022, Pagina/e 5836–5843, ISSN 2470-1343
Editore: American Chemical Society
DOI: 10.1021/acsomega.1c05876

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Autori: Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Pubblicato in: Nature Communications, Numero 14, 2023, Pagina/e 131, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-022-35747-8

Drawing Inspiration from Biological Dendrites to Empower Artificial Neural Networks

Autori: Spyridon Chavlis; Panayiota Poirazi
Pubblicato in: Current Opinion in Neurobiology, Numero 1, 2021, Pagina/e 1-10, ISSN 0959-4388
Editore: Elsevier BV
DOI: 10.5281/zenodo.7648693

A Locus Coeruleus- dorsal CA1 dopaminergic circuit modulates memory linking

Autori: Chowdhury, Ananya; Luchetti, Alessandro; Fernandes, Giselle; Filho, Daniel Almeida; Kastellakis, George; Tzilivaki, Alexandra; Ramirez, Erica M; Tran, Mary Y; Poirazi, Panayiota; Silva, Alcino J
Pubblicato in: Neuron, Numero 1, 2022, Pagina/e 3374-3388.e8, ISSN 0896-6273
Editore: Cell Press
DOI: 10.1016/j.neuron.2022.08.001

Other (2)

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

Autori: Nikos Malakasis; Spyridon Chavlis; Panayiota Poirazi
Pubblicato in: BioRxiv, Numero 4, 2023
Editore: BioRxiv
DOI: 10.1101/2023.05.22.541722

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

Autori: Chavlis, Spyridon; Poirazi, Panayiota
Pubblicato in: arxiv, Numero 3, 2024
Editore: 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

Autori: Elia A. Vallicelli; Valerio Di Palma; Marcello De Matteis; Andrea Baschirotto; Marco Fanciulli
Pubblicato in: 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Numero 4, 2022, Pagina/e 1-4, ISBN 978-1-6654-8823-5
Editore: IEEE
DOI: 10.1109/icecs202256217.2022.9970943

Diritti di proprietà intellettuale

Patent (1)

NANOSTRUCTURE PLATFORM FOR CELLULAR INTERFACING AND CORRESPONDING MANUFACTURING PROCESS

Numero candidatura/pubblicazione: 18 808036
Data: 2018-12-03