| Linking connectivity, dynamics, and computations in low-rank recurrent neural networks F Mastrogiuseppe, S Ostojic Neuron 99 (3), 609-623. e29, 2018 | 81 | 2018 |
| Intrinsically-generated fluctuating activity in excitatory-inhibitory networks F Mastrogiuseppe, S Ostojic PLoS computational biology 13 (4), e1005498, 2017 | 38 | 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 | 14 | 2020 |
| A geometrical analysis of global stability in trained feedback networks F Mastrogiuseppe, S Ostojic Neural Computation 31 (6), 1139-1182, 2019 | 7 | 2019 |
| Complementary roles of dimensionality and population structure in neural computations A Dubreuil, A Valente, M Beiran, F Mastrogiuseppe, S Ostojic bioRxiv, 2020 | 2 | 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 | 2 | 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 | 1 | 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 | 1 | 2020 |
| From dynamics to computations in recurrent neural networks F Mastrogiuseppe École Normale Supérieure, 2017 | 1 | 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 | | 2020 |
Srdjan OstojicEcole Normale Superieure ParisVerified email at ens.fr
