Takayuki Onojima

Doctor of Informatics
Lecturer, Data Science and AI Innovation Research Promotion Center, Shiga University

Keywords

EEG, neural oscillations, brain-state-dependent stimulation, phase dynamics, adaptive experimental design, Bayesian optimization, statistical modeling, real-time signal processing, deep learning, human-in-the-loop systems

Current Research Topics

Development of adaptive and real-time brain-state-dependent stimulation based on EEG activity
Statistical modeling of the relationship between EEG phase and behavioral responses (accuracy and reaction time)
Bayesian optimization for efficient estimation of subject-specific optimal stimulation parameters with a limited number of trials
Real-time estimation and prediction of EEG states using deep learning models
Construction of human-in-the-loop neural stimulation and AI control systems

Past Research Topics

Phase-dependent visual and auditory stimulation experiments based on ongoing EEG activity
Real-time estimation of instantaneous EEG phase using Kalman filtering and oscillator models
Development of closed-loop EEG phase-dependent stimulation systems
Estimation of coupling functions between neural rhythms using phase oscillator models
Neural mechanisms underlying the relationship between EEG phase and speech perception or attention

Scientific Society Memberships

The Japan Neuroscience Society
The Physical Society of Japan
The Japanese Human Brain Mapping Society
Information Processing Society of Japan
Society for Neuroscience
Organization for Human Brain Mapping