Francesca Mastrogiuseppe
Francesca Mastrogiuseppe
Gatsby Computational Neuroscience Unit, UCL
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Cited by
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Linking connectivity, dynamics, and computations in low-rank recurrent neural networks
F Mastrogiuseppe, S Ostojic
Neuron 99 (3), 609-623. e29, 2018
Intrinsically-generated fluctuating activity in excitatory-inhibitory networks
F Mastrogiuseppe, S Ostojic
PLoS computational biology 13 (4), e1005498, 2017
Dynamics of random recurrent networks with correlated low-rank structure
F Schuessler, A Dubreuil, F Mastrogiuseppe, S Ostojic, O Barak
Physical Review Research 2 (1), 013111, 2020
A geometrical analysis of global stability in trained feedback networks
F Mastrogiuseppe, S Ostojic
Neural Computation 31 (6), 1139-1182, 2019
Complementary roles of dimensionality and population structure in neural computations
A Dubreuil, A Valente, M Beiran, F Mastrogiuseppe, S Ostojic
bioRxiv, 2020
Disentangling the roles of dimensionality and cell classes in neural computations
AM Dubreuil, A Valente, F Mastrogiuseppe, S Ostojic
Neural Information Processing Systems Workshops 2019, 2019
Shaping dynamics with multiple populations in low-rank recurrent networks
M Beiran, A Dubreuil, A Valente, F Mastrogiuseppe, S Ostojic
arXiv preprint arXiv:2007.02062, 2020
The interplay between randomness and structure during learning in RNNs
F Schuessler, F Mastrogiuseppe, A Dubreuil, S Ostojic, O Barak
Advances in Neural Information Processing Systems 2020, 2020
From dynamics to computations in recurrent neural networks
F Mastrogiuseppe
École Normale Supérieure, 2017
Quality of internal representation shapes learning performance in feedback neural networks
L Susman*, F Mastrogiuseppe*, N Brenner, O Barak
arXiv preprint arXiv:2011.06066, 2020
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