Srdjan Ostojic
Affiliations: | École normale supérieure Paris, Paris, Île-de-France, France |
Area:
computational neuroscienceGoogle:
"Srdjan Ostojic"Mean distance: 15.14 (cluster 17) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentorStefano Fusi | post-doc | ENS Paris | |
Nicolas Brunel | post-doc | 2006-2009 | ENS Paris |
Vincent Hakim | post-doc | 2006-2009 | ENS Paris |
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Publications
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Ostojic S, Fusi S. (2024) Computational role of structure in neural activity and connectivity. Trends in Cognitive Sciences |
Barbosa J, Proville R, Rodgers CC, et al. (2023) Early selection of task-relevant features through population gating. Nature Communications. 14: 6837 |
Ostojic S, Fusi S. (2023) The computational role of structure in neural activity and connectivity. Arxiv |
Cimeša L, Ciric L, Ostojic S. (2023) Geometry of population activity in spiking networks with low-rank structure. Plos Computational Biology. 19: e1011315 |
Shao Y, Ostojic S. (2023) Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks. Plos Computational Biology. 19: e1010855 |
Molano-Mazón M, Shao Y, Duque D, et al. (2023) Recurrent networks endowed with structural priors explain suboptimal animal behavior. Current Biology : Cb |
Herbert E, Ostojic S. (2022) The impact of sparsity in low-rank recurrent neural networks. Plos Computational Biology. 18: e1010426 |
Dubreuil A, Valente A, Beiran M, et al. (2022) The role of population structure in computations through neural dynamics. Nature Neuroscience. 25: 783-794 |
Bouchacourt F, Palminteri S, Koechlin E, et al. (2020) Temporal chunking as a mechanism for unsupervised learning of task-sets. Elife. 9 |
Bondanelli G, Ostojic S. (2020) Coding with transient trajectories in recurrent neural networks. Plos Computational Biology. 16: e1007655 |