Yoshihito Shigihara

This paper introduces a data-driven method to automatically identify frequency bands in neural signals based on network topology, showing better individual adaptation than classical approaches.

This paper investigates the use of mouth-based sensors in magnetoencephalography (MEG) to study the human hippocampus, finding that mouth sensors show unique task-related activity and anti-correlation with temporal lobe sensors.

The paper measures early cortical responses to color stimuli using MEG and finds an early response at 30 ms in prestriate cortex, aligning color with motion and form systems.