Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.
Project Period: 2020-08-01 – 2024-05-31
Funding Organisation:
EC/H2020
Acronym
SynapSeek
Principal Investigator
Department(s)
Grant Number
819603
Funding Organisation
EC/H2020
8 Publications
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).
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| PubMed | Europe PMC
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).
2023 | Published | Thesis | IST-REx-ID: 14422
Synapseek: Meta-learning synaptic plasticity rules
B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.
[Published Version]
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B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.
2022 | Published | Conference Paper | IST-REx-ID: 13239 | 
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]
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T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531.
2022 | Published | Journal Article | IST-REx-ID: 11143 |
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]
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K. Kaneko, C. Currin, K.M. Goff, E.R. Wengert, A. Somarowthu, T.P. Vogels, E.M. Goldberg, Cell Reports 38 (2022).
2022 | Published | Journal Article | IST-REx-ID: 12009 |
Developmental depression-to-facilitation shift controls excitation-inhibition balance
D.W. Jia, T.P. Vogels, R.P. Costa, Communications Biology 5 (2022).
[Published Version]
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D.W. Jia, T.P. Vogels, R.P. Costa, Communications Biology 5 (2022).
2021 | Published | Journal Article | IST-REx-ID: 8253 |
The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks
F. Zenke, T.P. Vogels, Neural Computation 33 (2021) 899–925.
[Published Version]
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F. Zenke, T.P. Vogels, Neural Computation 33 (2021) 899–925.
2020 | Published | Journal Article | IST-REx-ID: 8127 |
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]
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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).
2020 | Published | Conference Paper | IST-REx-ID: 9633 |
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.
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B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, Advances in Neural Information Processing Systems, 2020, pp. 16398–16408.