Vincent S.C. Chien

This study presents a computational model of the motor pathway that reproduces individual MEP waveforms and reveals the critical role of spinal recurrent inhibition in shaping their temporal structure.

This study identifies cortical cell-type and receptor gradients that correlate with resting-state alpha-BOLD coupling patterns.

This study uses a mathematical model of cortical microcircuits to show that input variability affects EEG-BOLD correlations, revealing negative alpha-BOLD and positive gamma-BOLD relationships.

The paper models auditory evoked responses in non-human primate auditory cortex using LFP data to identify cell-type specific contributions to neural dynamics across cortical layers.

The paper proposes a network model of reciprocally coupled neural masses to simulate cortical deviance responses and predicts effects of synaptic adaptation and NMDA receptor antagonists on change detection.