| A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex R Chaudhuri, K Knoblauch, MA Gariel, H Kennedy, XJ Wang Neuron 88 (2), 419-431, 2015 | 551 | 2015 |
| Variance as a signature of neural computations during decision making AK Churchland, R Kiani, R Chaudhuri, XJ Wang, A Pouget, MN Shadlen Neuron 69 (4), 818-831, 2011 | 406 | 2011 |
| The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep R Chaudhuri, B Gerçek, B Pandey, A Peyrache, I Fiete Nature neuroscience 22 (9), 1512-1520, 2019 | 320 | 2019 |
| Computational principles of memory R Chaudhuri, I Fiete Nature Neuroscience 19, 394-403, 2016 | 257 | 2016 |
| A diversity of localized timescales in network activity R Chaudhuri, A Bernacchia, XJ Wang elife 3, e01239, 2014 | 83 | 2014 |
| Random recurrent networks near criticality capture the broadband power distribution of human ECoG dynamics R Chaudhuri, BJ He, XJ Wang Cerebral Cortex 28 (10), 3610-3622, 2018 | 64 | 2018 |
| Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes R Chaudhuri, I Fiete Advances in neural information processing systems 32, 2019 | 27 | 2019 |
| Robust parallel decision-making in neural circuits with nonlinear inhibition B Kriener, R Chaudhuri, IR Fiete Proceedings of the National Academy of Sciences 117 (41), 25505-25516, 2020 | 13 | 2020 |
| Common population codes produce extremely nonlinear neural manifolds A De, R Chaudhuri Proceedings of the National Academy of Sciences 120 (39), e2305853120, 2023 | 10 | 2023 |
| High-capacity flexible hippocampal associative and episodic memory enabled by prestructured''spatial''representations S Chandra, S Sharma, R Chaudhuri, I Fiete bioRxiv, 2023.11. 28.568960, 2023 | 6 | 2023 |
| Using noise to probe recurrent neural network structure and prune synapses E Moore, R Chaudhuri Advances in neural information processing systems 33, 14046-14057, 2020 | 5 | 2020 |
| Associative content-addressable networks with exponentially many robust stable states R Chaudhuri, I Fiete arXiv preprint arXiv:1704.02019, 2017 | 5 | 2017 |
| Locally learned synaptic dropout for complete bayesian inference KL McKee, IC Crandell, R Chaudhuri, RC O'Reilly arXiv preprint arXiv:2111.09780, 2021 | 2 | 2021 |
| An evolving perspective on the dynamic brain: Notes from the Brain Conference on Dynamics of the brain: Temporal aspects of computation AJ Langdon, R Chaudhuri The European journal of neuroscience 53 (11), 3511, 2021 | 1 | 2021 |
| Timescales and the large-scale organization of cortical dynamics R Chaudhuri Yale University, 2013 | 1 | 2013 |
| Harnessing and modulating chaos to sample from neural generative models R Chaudhuri, V Handebagh arXiv preprint arXiv:2409.18329, 2024 | | 2024 |
| Posterior Parietal Cortex Regulates Intrinsic Neural Timescales and Attentional Processing in Frontal Eye Field O Soyuhos, T Moore, R Chaudhuri, X Chen bioRxiv, 2024.09. 30.615928, 2024 | | 2024 |
| Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain K McKee, I Crandell, R Chaudhuri, R O'Reilly arXiv preprint arXiv:2210.01691, 2022 | | 2022 |
| A diversity of localized timescales in network activity. A Bernacchia, XJ Wang, R Chaudhuri | | 2014 |
| MODULAR NETWORKS WITH RANDOM PROJECTIONS FOR HIGH-CAPACITY ASSOCIATIVE PATTERN AND SE-QUENCE MEMORY S Sharma, S Chandra, R Chaudhuri, M Klukas, I Fiete | | |
Ila FieteProfessor of Brain and Cognitive Sciences, MITVerified email at mit.edu
