2 papers
eess.SP2026
Quantifying Event-Related (De)Synchronization Variability for Brain-Computer Interface: A Unified and Interpretable Framework
Simon Kojima, Fabien Lotte
Objective: Brain-Computer Interfaces (BCIs) enable the control of external devices by decoding user intentions from electroencephalography (EEG). However, substantial EEG variabili…
q-bio.NC2026
End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS
Riki Sakurai, Simon Kojima, Mihoko Otake-Matsuura +2
The escalating demand for mental healthcare, driven by rising societal stress, highlights the limitations of traditional psychiatric diagnostics. Conventional methods - relying pri…