Shaomin Zhang

The paper investigates how hippocampal ripple activity and its coupling with neocortical ripples support visual short-term memory maintenance in humans.

This study investigates how reach and grasp information are integrated in macaque premotor cortex using a novel experimental paradigm and canonical correlation analysis.

The paper investigates how hippocampal theta oscillations relate to bidirectional temporal-order memory retrieval, finding increased theta activity during backward retrieval after learning.

This paper introduces a neural decoding method using background-removed single-photon calcium images to rapidly and accurately predict mouse lever-pressing kinematic parameters in real-time.

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 investigates amygdala and hippocampus interactions during non-emotional working memory tasks, finding load-dependent changes in neural activity and connectivity.

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.

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.

This study identifies acoustic contamination in neural recordings during speech and sound processing, showing it can artificially improve speech decoding performance.