V. Srinivasa Chakravarthy

The paper presents two models to predict agent behavior in non-stationary bandit tasks: a theoretical Bayesian model and a neural model of the basal ganglia, showing their relationship and predictive performance.

This paper introduces a computational model to study how environmental geometry affects grid cell periodicity, showing grid cells encode both local and global environmental information.

The paper presents two computational models that generate spatial cell responses like head direction, grid, border, and place cells without requiring symmetry assumptions, using locomotor inputs.