Zonghan Du

The paper evaluates how neural gain in motor-cortex decoding depends on context, temporal boundaries, and trial pairing, showing gains vary with model and context.

This paper introduces Neural SS-DMP, a method that improves neural decoding by reframing it as structured control inference with behavior priors, achieving better accuracy and trajectory smoothness in ECoG and spiking data.