A smart, hybrid neural-computo device for drug discovery

Projektinformationen

NEUREKA

ID Finanzhilfevereinbarung: 863245

DOI 10.3030/863245

Projekt abgeschlossen

EK-Unterschriftsdatum 24 September 2019

Startdatum 1 Dezember 2019

Enddatum 31 Mai 2024

Finanziert unter

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Gesamtkosten € 2 776 705,00

EU-Beitrag € 2 776 704,00

Koordiniert durch

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

Leistungen

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

Veröffentlichungen

Peer reviewed articles (10)

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

Autoren: Olesia M. Bilash, Spyridon Chavlis, Cara D. Johnson, Panayiota Poirazi, Jayeeta Basu
Veröffentlicht in: Cell Reports, Ausgabe 42, 2023, Seite(n) 111962, ISSN 2211-1247
Herausgeber: Cell Press
DOI: 10.1016/j.celrep.2022.111962

The dendritic engram

Autoren: George Kastellakis; Simone Tasciotti; Ioanna Pandi; Panayiota Poirazi
Veröffentlicht in: Frontiers in Behavioral Neuroscience, Ausgabe 17, 2023, ISSN 1662-5153
Herausgeber: Frontiers Research Foundation
DOI: 10.3389/fnbeh.2023.1212139

Dendrites and efficiency: Optimizing performance and resource utilization

Autoren: Roman Makarov; Michalis Pagkalos; Panayiota Poirazi
Veröffentlicht in: Current Opinion in Neurobiology, Ausgabe 13, 2023, ISSN 0959-4388
Herausgeber: Elsevier BV
DOI: 10.1016/j.conb.2023.102812

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

Autoren: Geiller, Tristan; Vancura, Bert; Terada, Satoshi; Troullinou, Eirini; Chavlis, Spyridon; Tsagkatakis, Grigorios; Tsakalides, Panagiotis; Ócsai, Katalin; Poirazi, Panayiota; Rózsa, Balázs J.; Losonczy, Attila
Veröffentlicht in: Neuron, Ausgabe 7, 2020, Seite(n) 968-983.e9, ISSN 0896-6273
Herausgeber: 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

Autoren: Yuan, Xinyue; Hierlemann, Andreas; Frey, Urs
Veröffentlicht in: IEEE Journal of Solid-State Circuits, Ausgabe 11, 2021, Seite(n) 2466 - 2475, ISSN 0018-9200
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSSC.2021.3066043

Hippocampal GABAergic interneurons and memory

Autoren: Alexandra Tzilivaki, John J. Tukker, Nikolaus Maier, Panayiota Poirazi, Rosanna P. Sammons, Dietmar Schmitz
Veröffentlicht in: Neuron, Ausgabe 111, 2023, Seite(n) 3154-3175, ISSN 0896-6273
Herausgeber: 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

Autoren: Lecestre, Aurélie; Martin, Mickael; Cristiano, Filadelfo; Baron, Thierry; Larrieu, Guilhem
Veröffentlicht in: ACS Omega, Ausgabe 4, 2022, Seite(n) 5836–5843, ISSN 2470-1343
Herausgeber: American Chemical Society
DOI: 10.1021/acsomega.1c05876

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Autoren: Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Veröffentlicht in: Nature Communications, Ausgabe 14, 2023, Seite(n) 131, ISSN 2041-1723
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41467-022-35747-8

Drawing Inspiration from Biological Dendrites to Empower Artificial Neural Networks

Autoren: Spyridon Chavlis; Panayiota Poirazi
Veröffentlicht in: Current Opinion in Neurobiology, Ausgabe 1, 2021, Seite(n) 1-10, ISSN 0959-4388
Herausgeber: Elsevier BV
DOI: 10.5281/zenodo.7648693

A Locus Coeruleus- dorsal CA1 dopaminergic circuit modulates memory linking

Autoren: Chowdhury, Ananya; Luchetti, Alessandro; Fernandes, Giselle; Filho, Daniel Almeida; Kastellakis, George; Tzilivaki, Alexandra; Ramirez, Erica M; Tran, Mary Y; Poirazi, Panayiota; Silva, Alcino J
Veröffentlicht in: Neuron, Ausgabe 1, 2022, Seite(n) 3374-3388.e8, ISSN 0896-6273
Herausgeber: Cell Press
DOI: 10.1016/j.neuron.2022.08.001

Other (2)

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

Autoren: Nikos Malakasis; Spyridon Chavlis; Panayiota Poirazi
Veröffentlicht in: BioRxiv, Ausgabe 4, 2023
Herausgeber: BioRxiv
DOI: 10.1101/2023.05.22.541722

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

Autoren: Chavlis, Spyridon; Poirazi, Panayiota
Veröffentlicht in: arxiv, Ausgabe 3, 2024
Herausgeber: 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

Autoren: Elia A. Vallicelli; Valerio Di Palma; Marcello De Matteis; Andrea Baschirotto; Marco Fanciulli
Veröffentlicht in: 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Ausgabe 4, 2022, Seite(n) 1-4, ISBN 978-1-6654-8823-5
Herausgeber: IEEE
DOI: 10.1109/icecs202256217.2022.9970943

Rechte des geistigen Eigentums

Patent (1)

NANOSTRUCTURE PLATFORM FOR CELLULAR INTERFACING AND CORRESPONDING MANUFACTURING PROCESS

Antrags-/Publikationsnummer: 18 808036
Datum: 2018-12-03