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 |
The vitals for steady nucleation maps of spontaneous spiking coherence in autonomous two-dimensional neuronal networks
D. Zendrikov, A. Paraskevov, Neural Networks 180 (2024).
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D. Zendrikov, A. Paraskevov, Neural Networks 180 (2024).
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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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).
2024 | Published | Journal Article | IST-REx-ID: 15171
Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks
E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974.
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E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974.
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.
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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.
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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).
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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).
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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.
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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).
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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.