Interpretation of “EVOMOE: Evolutionary Mixture-of-Experts for SSVEP-EEG Classification with User-Independent Training” 1. Research Background and Problem Statement Brain-computer interface (BCI) technology has recently shown broad application prospects in neuroengineering, assistive technology for disabilities, rehabilitation, emotion recognition,...

Effects of Local Vibration on Sensorimotor Cortical Activity Background Introduction Local Vibration (LV) is a technique that applies high-frequency (≥100 Hz) and low-amplitude ( mm) vibrations to muscles or tendons. Studies have shown that LV can promote brain plasticity through repeated activation of Ia afferents, but the specific mechanisms rema...

Differential Contributions of High-Frequency Activity and C1 ERP Component to Visual Processing: A Combined EEG-MEG Study Academic Background In the field of neuroscience, understanding how visual information is processed in the brain is a central question. Visual information processing is typically divided into two main processes: feedforward and ...

Research Report on Changes in Functional Connectivity in Post-Stroke Epilepsy (PSE) Patients Based on Source-Level EEG and Graph Theory Research Background Epilepsy has various etiologies, including idiopathic, congenital, head trauma, central nervous system infections, brain tumors, neurodegenerative diseases, and cerebrovascular diseases. Among t...

Background Introduction Motor Imagery (MI) refers to performing activities through imagination without actual muscle movement. This paradigm is widely used in Brain-Computer Interface (BCI) to decode brain activities into control commands for external devices. Specifically, Electroencephalography (EEG) is widely used in BCI due to its relative affo...