| The role of population structure in computations through neural dynamics A Dubreuil, A Valente, M Beiran, F Mastrogiuseppe, S Ostojic Nature neuroscience 25 (6), 783-794, 2022 | 173* | 2022 |
| Scaling and regeneration of self-organized patterns S Werner, T Stückemann, M Beirán Amigo, JC Rink, F Jülicher, ... Physical review letters 114 (13), 138101, 2015 | 81 | 2015 |
| Shaping dynamics with multiple populations in low-rank recurrent networks M Beiran, A Dubreuil, A Valente, F Mastrogiuseppe, S Ostojic Neural Computation 33 (6), 1572-1615, 2021 | 62 | 2021 |
| Parametric control of flexible timing through low-dimensional neural manifolds M Beiran, N Meirhaeghe, H Sohn, M Jazayeri, S Ostojic Neuron 111 (5), 739-753. e8, 2023 | 46 | 2023 |
| Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks M Beiran, S Ostojic PLoS computational biology 15 (3), e1006893, 2019 | 29 | 2019 |
| Dopamine firing plays a dual role in coding reward prediction errors and signaling motivation in a working memory task S Sarno, M Beirán, J Falcó-Roget, G Diaz-deLeon, R Rossi-Pool, R Romo, ... Proceedings of the National Academy of Sciences 119 (2), e2113311119, 2022 | 21* | 2022 |
| Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations M Beiran, A Kruscha, J Benda, B Lindner Journal of Computational Neuroscience 44, 189-202, 2018 | 14 | 2018 |
| Emergent neural dynamics and geometry for generalization in a transitive inference task K Kay, N Biderman, R Khajeh, M Beiran, CJ Cueva, D Shohamy, ... PLOS Computational Biology 20 (4), e1011954, 2024 | 13* | 2024 |
| Amplified cortical neural responses as animals learn to use novel activity patterns B Akitake, HM Douglas, PK LaFosse, M Beiran, CE Deveau, J O’Rawe, ... Current Biology 33 (11), 2163-2174. e4, 2023 | 8 | 2023 |
| A ‘programming’framework for recurrent neural networks M Beiran, CA Spencer-Salmon, K Rajan Nature Machine Intelligence 5 (6), 570-571, 2023 | 6 | 2023 |
| Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks L Serrano-Fernández, M Beirán, N Parga Cell Reports 43 (7), 2024 | 4* | 2024 |
| Prediction of neural activity in connectome-constrained recurrent networks M Beiran, A Litwin-Kumar bioRxiv, 2024.02. 22.581667, 2024 | 2 | 2024 |
| Structure of activity in multiregion recurrent neural networks DG Clark, M Beiran arXiv preprint arXiv:2402.12188, 2024 | 2 | 2024 |
| Representation of a perceptual bias in the prefrontal cortex L Serrano-Fernández, M Beirán, R Romo, N Parga Proceedings of the National Academy of Sciences 121 (50), e2312831121, 2024 | 1* | 2024 |
| Temporal computations in recurrent neural networks M Beiran Université Paris sciences et lettres, 2020 | | 2020 |
Srdjan OstojicEcole Normale Superieure ParisVerified email at ens.fr
