Harsha Gurnani

This study compares two neural circuits to show that a feed-forward layer improves learning and stabilizes attractor states by altering geometric properties of population activity.

This study identifies a corticostriatal circuit in rats that updates beliefs about hidden task states through specific neural encoding and perturbations.

The paper describes the NeuroML ecosystem, a standardized framework for multi-scale neuroscience modeling that promotes interoperability and FAIR principles in research workflows.

This paper shows that feedback-driven neural dynamics limit fast motor learning in BCI tasks by constraining controllability and explaining learning variability.

This study investigates how mice integrate sensory confidence and reward value in decision-making and learning, revealing distinct roles for frontal and dopamine neurons.