Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals

arXiv cs.AI · 18 hours ago

Researchers developed Cortical-SSM, a state space model architecture for classifying motor imagery signals from EEG recordings, which is intended for brain-computer interface applications. The method was evaluated on two public datasets containing over 50 subjects and outperformed baseline approaches on both benchmarks. This approach provides an alternative to Transformer-based methods for EEG signal classification and could improve the reliability of brain-computer interfaces for patient communication and rehabilitation.