Tengjun Liu

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.

This study shows that macaques can learn to generate energy-efficient temporal patterns in the motor cortex using a brain-machine interface, with neurons co-evolving firing rates and timing to achieve this efficiency.