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Articles
[1] The role of population structure in computations through neural dynamics
A. Dubreuil*, A. Valente*, M. Beiran, F. Mastrogiuseppe, S. Ostojic
Nature Neuroscience, 2022
[2] Network mechanism supporting long-distance-dependencies
A. Dubreuil, A.Leblois
Proceedings of the International Joint Conference on Neural Networks, 2021
[3] Dynamical system approach to explainability in recurrent neural networks
A. Dubreuil
Proceedings of the Conférence Nationale en Intelligence Artificielle, 2021
[4] The interplay between randomness and structure during learning in RNNs
F. Schuessler, F. Mastrogiuseppe, A. Dubreuil, S. Ostojic, O. Barak
NeurIPS, 2020
[5] Shaping dynamics with multiple populations in low-rank recurrent networks
M. Beiran, A. Dubreuil, A. Valente, F. Mastrogiuseppe, S. Ostojic
bioRxiv, 2020
[6] Dynamics of random recurrent networks with correlated low-rank structure
F. Schuessler, A. Dubreuil, F. Mastrogiuseppe, S. Ostojic, O. Barak
Physical Review Research, 2020
[7] Disentangling the roles of dimensionality and cell classes in neural computation
A.M. Dubreuil, A. Valente, F. Mastrogiuseppe, S. Ostojic
NeurIPS Workshop, 2019
[8] Short-term memory properties of sensory neural architectures
A.M. Dubreuil
Journal of Computational Neuroscience, 2019
[9] Can grid cells ensembles represent multiple spaces ?
D.Spalla*, A.M. Dubreuil*, S.Rosay, R. Monasson, A. Treves
Neural Computation, 2019
[10] A sensori-motor hub driving phototaxis in zebrafish
S.Wolf*, A.M.Dubreuil*, T.Bertoni, U.Lucas Böhm, V.Bormuth, R.Candelier, S.Karpenko, D.G.C. Hildebrand, I.Bianco, R.Monasson, G.Debrégeas
Nature Communications, 2017
[11] Rheotaxis of larval zebrafish: behavioral study of a multi-sensory process
R.Olive, S.Wolf, A.Dubreuil, V.Bormuth, G.Debrégeas, R.Candelier
Frontiers in System Neuroscience, 2016
[12] Storing structured sparse memories in a large-scale multi-modular cortical network model
A.M.Dubreuil, N.Brunel
Journal of Computational Neuroscience, 2016
[13] Memory capacity of networks with stochastic binary synapses
A.M.Dubreuil, Y.Amit, N.Brunel
PLoS Computational Biology, 2014
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Abstracts in International Journals
[14] Encoding of multiple spaces in grid-cell networks
A.M.Dubreuil, R.Monasson, A.Treves.
Abstract presented at the 23rd Computational Neuroscience Society meeting (CNS 2017) in BMC Neuroscience, 15(1), P237, 2017
[15] Memory capacity of networks with stochastic binary synapses
A.M.Dubreuil, Y.Amit, N.Brunel.
Abstract presented at the 23rd Computational Neuroscience Society meeting (CNS 2013) in BMC Neuroscience, 15(1), P43, 2013
[16] Neural mechanisms underlying the reduction in behavioral variability during trial-and-error learning.
A Dubreuil, Y Burak, T Otchy and B Olveczky.
Front. Neurosci. Conference Abstract : Computational and Systems Neuroscience, 2010
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Poster presentations in conferences
[17] Minimal-dimensionality implementation of behavioral tasks in recurrent networks
Computational and Systems Neuroscience, 2019
A.M. Dubreuil, F. Mastrogiuseppe, S. Ostojic
Travel grant awarded to the 20 abstracts with highest reviewing scores out of >1000 submissions.
[18] Reverse-engineering recurrent neural networks via low-rank approximation
A.M. Dubreuil, S. Ostojic
Bernstein Conference for Computational Neuroscience, 2018
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PhD Thesis
[19] Memory and Cortical Connectivity
Université Paris Descartes, 2014
* equal contributions