Hongru Jiang

The paper introduces MANDT, a method that extracts consistent embeddings of motor cortical dynamics to improve BCI decoding across sessions and tasks, validated on rhesus monkey data.

The paper proposes a recurrent spike neural network to model motor cortical activity during arm reaching, showing good agreement with monkey data at single-cell and population levels.

This study uses an RNN model of motor cortex to show that internal dynamics and proprioceptive feedback interact during movement execution, with feedback controlling movement termination and improving robustness.