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Rishidev Chaudhuri
Rishidev Chaudhuri
Assistant Professor, University of California, Davis
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
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
5162015
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
3982011
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
2972019
Computational principles of memory
R Chaudhuri, I Fiete
Nature Neuroscience 19, 394-403, 2016
2462016
A diversity of localized timescales in network activity
R Chaudhuri, A Bernacchia, XJ Wang
elife 3, e01239, 2014
782014
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
542018
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
R Chaudhuri, I Fiete
Advances in neural information processing systems 32, 2019
272019
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
132020
Common population codes produce extremely nonlinear neural manifolds
A De, R Chaudhuri
Proceedings of the National Academy of Sciences 120 (39), e2305853120, 2023
62023
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
62023
Associative content-addressable networks with exponentially many robust stable states
R Chaudhuri, I Fiete
arXiv preprint arXiv:1704.02019, 2017
52017
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
42020
Locally learned synaptic dropout for complete bayesian inference
KL McKee, IC Crandell, R Chaudhuri, RC O'Reilly
arXiv preprint arXiv:2111.09780, 2021
22021
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
12021
Timescales and the large-scale organization of cortical dynamics
R Chaudhuri
Yale University, 2013
12013
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
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