Spandan Sengupta

This study investigates how electrical stimulation affects neuronal network dynamics, showing state-dependent suppression of beta oscillations and frequency-specific responses.

The paper develops MATLAB-based software to automatically identify and analyze theta rhythms in hippocampal EEG/LFP data, showing it can robustly detect feature changes during seizures and post-seizure periods.

The paper develops a mathematical model of hippocampal circuits to identify cell-type specific mechanisms underlying theta-gamma coupled rhythms.

The paper uses biophysical models to show that CCK+ basket cells have a greater role in theta-gamma coupling than PV+ basket cells in the hippocampus.