Jiawei Han

The paper investigates dynamic lateralization in contralateral-projecting corticospinal neurons during motor learning in mice, finding heterogeneous activity changes and flexible network reconfiguration.

This study shows that calcium signals from layer 2/3 motor cortex can be used for continuous neural decoding using an improved recurrent neural network, revealing distinct spatiotemporal coding patterns in movement.

This paper introduces an LDA-DP spike sorting method that improves robustness in noisy or similar waveform conditions, achieving better clustering performance than existing methods.

This study demonstrates that the primary motor cortex can generate precise temporal spike patterns through learning, with recurrent connections enhancing synchronization and coincidence detection.