Moore E & Chaudhuri R (2020). Using noise to probe recurrent neural network structure and prune synapses. Advances in Neural Information Processing Systems 33. [Link]

Kriener B*, Chaudhuri R* & Fiete IR (2020). Robust parallel decision-making in neural circuits with nonlinear inhibition. Proceedings of the National Academy of Sciences 117, 25505. doi: 10.1073/pnas.1917551117 [Link] (* co-first author)

Langdon A & Chaudhuri R (2020). An evolving perspective on the dynamic brain: notes from the Brain Conference on Dynamics of the brain: temporal aspects of computation. European Journal of Neuroscience doi:10.1111/ejn.14963 [Link] (Meeting report)

Chaudhuri R & Fiete IR (2019). Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes. Advances in Neural Information Processing Systems 32. [Link]

Chaudhuri R, Gercek B*, Pandey B*, Peyrache A & Fiete IR (2019). The population dynamics of a canonical cognitive circuit. Nature Neuroscience 22, 1512 [Link] (* co-second author)

Chaudhuri R, Biyu H, Wang XJ (2017). Random recurrent networks near criticality capture the broadband power distribution of human ECoG dynamics. Cerebral Cortex doi:10.1093/cercor/bhx233. [Link]

Chaudhuri R & Fiete IR (2016). Computational principles of memory. Nature Neuroscience 19, 394. [Link] [PDF]

Chaudhuri R, Knoblauch K, Gariel M-A, Kennedy H, Wang XJ (2015). A large-scale circuit mechanism for hierarchical dynamical processing in the primate cortex. Neuron 88, 419 [Link] [PDF]

Chaudhuri R, Bernacchia A, Wang XJ (2014). A diversity of localized timescales in network activity. Elife 3, e01239 [Link][PDF]

Churchland AK, Kiani R, Chaudhuri R, Wang XJ, Pouget A & Shadlen MN (2011). Variance as a signature of neural computations during decision-making. Neuron 69, 818 [Link][PDF]