Sina Makhdoomi Kaviri

PRSEPTransformer-EEG: source-space sLORETA and residual transformers for robust motor imagery and execution EEG decoding

Decoding motor intentions from non-invasive scalp EEG remains a core challenge in brain–computer interface research, due to spatial blurring, low signal-to-noise ratio, and inter-subject variability. This work introduces PRSEPTransformer-EEG, a unified framework that integrates s...