From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
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…
cs.HC2026
Embodied Virtual Reality Feedback Reshapes Neural Representations to Support Continuous Three-Dimensional Motor Imagery Decoding
Niall McShane, Attila Korik, Karl McCreadie +3
Continuous brain-computer interfaces (BCIs) that decode motion trajectories from imagined movement offer intuitive motor control, yet how feedback modality and longitudinal trainin…