I am a postdoctoral fellow with Ila Fiete in the Center for Learning and Memory at The University of Texas at Austin. Prior to that I was a graduate student at Yale University, where I received my Ph.D. in Applied Mathematics.

My research interests lie at the intersection of neuroscience and applied mathematics: building theoretical frameworks to understand computation in the brain; developing statistical tools to analyze experimental data; and modeling the dynamics of distributed neural systems. At the moment I’m investigating representations of space and context in the entorhinal cortex and hippocampus, the computational properties of dynamical systems inspired by error-correcting codes, and the use of random networks for modeling cortical dynamics, with a particular focus on data from electrocorticography (ECoG).

Before I joined the Fiete lab I worked with Xiao-Jing Wang, where I built models of the large-scale dynamical organization of the cortex and examined architectural constraints that allow networks to show heterogeneous responses to input.



Rishidev Chaudhuri
The University of Texas at Austin
Department of Neuroscience
100 E 24th Street, NHB 3.350
Austin, TX 78712
rchaudhuri [at] austin [dot] utexas [dot] edu