Taro Tezuka

This paper develops a single-channel EEG framework for cross-animal sleep staging in mice, achieving high accuracy and preserving sleep architecture over long-term recordings.

This paper characterizes vigilance-state transitions in mice using EEG-EMG data and validates a machine learning approach to detect transition midpoints.