Brain-Computer Interface: Motor Imagery Decoder

A brain-computer interface (BCI) reads neural activity directly and turns it into a command for an external device — the foundation of neuroprosthetics and thought-controlled assistive technology. This simulation models the most common non-invasive BCI paradigm: sensorimotor-rhythm decoding from EEG. Nineteen scalp electrodes (10-20 system) stream simulated mu/beta band power in real time; imagining a left- or right-hand movement desynchronises the opposite motor cortex electrode (C3 or C4), and a live classifier turns that asymmetry into a decoded left/right command that drives a cursor. Adjust noise, amplifier gain and the classification threshold to see why real BCIs must fight signal quality and false positives before a thought becomes a reliable command.