M. Karrenbach

A Valid and Reliable Virtual Reality Tool for Assessment of Arm Nonuse Post-Stroke

FRIST: FMRI Representation Informed Shared-space Training Improves EEG-only Individual-Finger BCI Decoding

fMRI Representation-Informed Shared-Space Training (FRIST), a two-stage EEG decoding framework that first learns fMRI-informed spectral projections from simultaneous EEG-fMRI recordings and then uses fMRI-derived class geometry to guide residual refinement of EEG predictions, is introduced, offering a multimodal strate...

Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control

A novel sensory-guided joint learning framework that coordinates subject learning and decoder adaptation to improve BCI acquisition and advances BCI training from passive calibration to active human–machine joint learning, enabling practical and scalable neural interfaces for communication and rehabilitation.