Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.

Informazioni relative al progetto

SynapSeek

ID dell’accordo di sovvenzione: 819603

DOI

10.3030/819603

Progetto chiuso

Data della firma CE 16 Maggio 2019

Data di avvio 1 Giugno 2019

Data di completamento 31 Maggio 2025

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 798 605,00

Contributo UE

€ 1 798 605,00

Coordinato da

INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA
Austria

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 .

Pubblicazioni

Peer reviewed articles (5)

Indistinguishable network dynamics can emerge from unalike plasticity rules

Autori: Poornima Ramesh, Basile Confavreux, Pedro J. Gonçalves, Tim P. Vogels, Jakob H. Macke
Pubblicato in: eLife, 2025, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.94411.1

Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks

Autori: Agnes, Everton J., Vogels, Tim
Pubblicato in: Nature Neuroscience, 2024, ISSN 1097-6256
Editore: Nature Publishing Group
DOI: 10.1038/s41593-024-01597-4

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks

Autori: Friedemann Zenke, Tim P. Vogels
Pubblicato in: Neural Computation, Numero 33 (4), 2021, Pagina/e 899–925., ISSN 0899-7667
Editore: MIT Press
DOI: 10.1162/neco_a_01367

Training deep neural density estimators to identify mechanistic models of neural dynamics

Autori: Pedro J Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A Haddad, Tim P Vogels, David S Greenberg, Jakob H Macke
Pubblicato in: eLife, Numero 9, 2020, Pagina/e all, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.56261

Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Flexible Switching of Receptive Fields

Autori: Everton J. Agnes, Andrea I. Luppi and Tim P. Vogels
Pubblicato in: The Journal of Neuroscience, 2020, ISSN 1529-2401
Editore: Journal of Neuroscience
DOI: 10.1523/jneurosci.0276-20.2020

Conference proceedings (3)

Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference

Autori: Basile Confavreux, Poormina Ramesh, Pedro J. Goncalves, Jakob H. Macke, Tim Vogels
Pubblicato in: In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23), 2023, Pagina/e Article 597, 13545–13558
Editore: Curran Associates Inc.
DOI: 10.5555/3666122.3666719

Online Learning Of Neural Computations From Sparse Temporal Feedback

Autori: L Braun, T Vogels
Pubblicato in: NeurIPS 2021, 2020
Editore: Advances in Neural Information Processing Systems 34

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network

Autori: Basile Confavreux, Friedemann Zenke, Everton Agnes, Timothy Lillicrap, Tim Vogels,
Pubblicato in: NeurIPS 2020, Numero 2020, 2020
Editore: Advances in Neural Information Processing Systems 33
DOI: 10.1101/2020.10.24.353409

Other (1)

Developmentally-regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome

Autori: Keisuke Kaneko, Christopher B Currin, Kevin M Goff, Ala Somarowthu, Tim P Vogels, Ethan M Goldberg
Pubblicato in: Submitted to review, currently a preprint, 2022
Editore: Elsevier
DOI: 10.1101/2021.07.28.454042

Thesis and dissertations (1)

Synapseek: Meta-learning synaptic plasticity rules

Autori: Confavreux, Basile J
Pubblicato in: 2023
Editore: ISTA Graduate School

Non-peer reviewed articles (1)

Memory by a thousand rules: Automated discovery of multi-type plasticity rules reveals variety & degeneracy at the heart of learning

Autori: Basile Confavreux, Zoe P. M. Harrington, Maciej Kania, Poornima Ramesh, Anastasia N. Krouglova, Panos A. Bozelos, Jakob H. Macke, Andrew M. Saxe, Pedro J. Gonçalves, Tim P. Vogels
Pubblicato in: bioRxiv, 2025, ISSN 2692-8205
Editore: openRxiv
DOI: 10.1101/2025.05.28.656584