Michael DePass

The paper characterizes neural population heterogeneity during motor tasks using HF-LFPs and finds that heterogeneity varies by region and state, improving motor decoding.

This paper introduces a biophysically plausible decision-making model using interacting neural populations in cortical layer 2/3, tested on human and macaque experiments.

This paper models how the brain computes delayed consequences in decision-making without explicit feedback, showing how neural dynamics and learning mechanisms adapt over time.