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Articles in peer-reviewed journals 

[1] Memory capacity of networks with stochastic binary synapses
A.M.Dubreuil, Y.Amit, N.Brunel
PLoS Computational Biology, 2014

[2] Storing structured sparse memories in a large-scale multi-modular cortical network model
A.M.Dubreuil, N.Brunel
Journal of Computational Neuroscience, 2016

[3] 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

[4] 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
* equal contributions

[5] Can grid cells ensembles represent multiple spaces ?
D.Spalla*, A.M. Dubreuil*, S.Rosay, R. Monasson, A. Treves
Neural Computation, 2019
* equal contributions

[6] Short-term memory properties of sensory neural architectures
A.M. Dubreuil
Journal of Computational Neuroscience, 2019

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Abstracts in International Journals 

[7] 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

[8] 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

[9] 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 

[10] 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.

[11] Reverse-engineering recurrent neural networks via low-rank approximation
A.M. Dubreuil, S. Ostojic
Bernstein Conference for Computational Neuroscience, 2018