5 papers
Characterization of Speech Imagery in Scalp EEG and Comparison with Motor Imagery
Bob Van Dyck, Liuyin Yang, Qiang Sun +2
Speech imagery is an attractive brain-computer interface paradigm for communication because it is endogenous and intrinsically linguistic. Yet despite growing interest, its dominan…
CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings
Liuyin Yang, Qiang Sun, Bob Van Dyck +2
Intracranial electrocorticography (ECoG) offers high-signal-to-noise access to cortical activity for brain-computer interfaces, yet limited per-patient data has led most prior work…
An open-source implementation of a closed-loop electrocorticographic Brain-Computer Interface using Micromed, FieldTrip, and PsychoPy
Bob Van Dyck, Arne Van Den Kerchove, Marc M. Van Hulle
We present an open-source implementation of a closed-loop Brain-Computer Interface (BCI) system based on electrocorticographic (ECoG) recordings. Our setup integrates FieldTrip for…
BTTDA: Block-Term Tensor Discriminant Analysis for Brain-Computer Interfacing
Arne Van Den Kerchove, Hakim Si-Mohammed, François Cabestaing +1
Brain-computer interfaces (BCIs) allow direct communication between the brain and external devices, frequently using electroencephalography (EEG) to record neural activity. Dimensi…
CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
Ang Li, Zikai Wang, Liuyin Yang +4
Electroencephalography (EEG) is a non-invasive technique for recording brain activity, widely used in brain-computer interfaces, clinic, and healthcare. Traditional EEG deep models…