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

Project Period: 2020-08-01 – 2024-05-31
Funder: EC/H2020
Acronym
SynapSeek
Principal Investigator
Department(s)
Grant Number
819603
Funder
EC/H2020

10 Publications

2024 | Epub ahead of print | Journal Article | IST-REx-ID: 17886 | OA [Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 14841
A structurally precise mechanism links an epilepsy-associated KCNC2 potassium channel mutation to interneuron dysfunction
J. Clatot, C. Currin, Q. Liang, T. Pipatpolkai, S.L. Massey, I. Helbig, L. Delemotte, T.P. Vogels, M. Covarrubias, E.M. Goldberg, Proceedings of the National Academy of Sciences of the United States of America 121 (2024).
View | Files available | DOI | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 15171 [Published Version] View | DOI | PubMed | Europe PMC
 
2023 | Published | Thesis | IST-REx-ID: 14422 | OA
Synapseek: Meta-learning synaptic plasticity rules
B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.
[Published Version] View | Files available | DOI
 
2022 | Published | Conference Paper | IST-REx-ID: 13239 | OA
Predictive learning enables neural networks to learn complex working memory tasks
T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531.
[Published Version] View | Files available
 
2022 | Published | Journal Article | IST-REx-ID: 11143 | OA
Developmentally regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome
K. Kaneko, C. Currin, K.M. Goff, E.R. Wengert, A. Somarowthu, T.P. Vogels, E.M. Goldberg, Cell Reports 38 (2022).
[Published Version] View | Files available | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 12009 | OA
Developmental depression-to-facilitation shift controls excitation-inhibition balance
D.W. Jia, T.P. Vogels, R.P. Costa, Communications Biology 5 (2022).
[Published Version] View | Files available | DOI | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 8253 | OA [Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Journal Article | IST-REx-ID: 8127 | OA
Training deep neural density estimators to identify mechanistic models of neural dynamics
P.J. Gonçalves, J.-M. Lueckmann, M. Deistler, M. Nonnenmacher, K. Öcal, G. Bassetto, C. Chintaluri, W.F. Podlaski, S.A. Haddad, T.P. Vogels, D.S. Greenberg, J.H. Macke, ELife 9 (2020).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2020 | Published | Conference Paper | IST-REx-ID: 9633 | OA
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, Advances in Neural Information Processing Systems, 2020, pp. 16398–16408.
[Published Version] View | Files available | Download Published Version (ext.)
 

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