3 papers
cs.AI2026
Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning
Jiamian Li, Niall McShane, Attila Korik +6
Decoding continuous three-dimensional (3D) motor imagery (MI) using non-invasive electroencephalography (EEG)-based brain--computer interfaces (BCIs) remains challenging due to sig…
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…
cs.NE2024
R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
Farajollah Tahernezhad-Javazm, Debbie Rankin, Naomi Du Bois +2
Choosing an appropriate optimization algorithm is essential to achieving success in optimization challenges. Here we present a new evolutionary algorithm structure that utilizes a…