Shuhang Chen

This paper develops a reinforcement learning framework to predict downstream neural spike trains from upstream activity using behavioral rewards, achieving better behavioral performance than existing methods.

This study aligns neural population patterns across tasks to improve motor learning transfer in rats using a BMI paradigm and introduces a novel decoding method called CATKRL.