#motor imagery
4 papers · 1 filter
What Causes Performance Degradation in Cross-Subject EEG Classification?
Yihe Wang, Taida Li, Yujun Yan +2
The paper systematically studies why cross‑subject EEG classification performs worse than subject‑dependent classification, identifying inter‑subject variability and shortcut learn…
Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals
Shuntaro Suzuki, Shunya Nagashima, Komei Sugiura
The paper introduces Cortical-SSM, a deep state space model that decodes motor imagery EEG signals by integrating temporal, spatial, and frequency information, achieving higher acc…
EEG-based AI-BCI Wheelchair Advancement: Transformer-Based Learning with Motor Imagery for Brain Computer Interface
Bipul Thapa, Biplov Paneru, Bishwash Paneru +1
The paper proposes a Transformer‑based deep learning model (TFormerEEG) to classify motor‑imagery EEG signals for controlling a simulated wheelchair, achieving over 90% accuracy.
Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning
Jiamian Li, Niall McShane, Attila Korik +6
The paper introduces a two‑stage framework that uses reinforcement learning to correct residual errors in continuous 3‑D motor‑imagery decoding from EEG, improving accuracy over a…