3 papers
q-bio.NC2026
Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs
Srinivas Ravishankar, Virginia de Sa
While intracortical Brain-Computer Interfaces (iBCIs) that decode imagined handwriting have achieved high communication rates for Latin scripts, they rely on observing every charac…
cs.HC2026
Handwriting decoding as a challenging motor task for EEG Foundation Models
Srinivas Ravishankar, Ishayu Ghosh, Nora Zajzon +2
Recent attempts at creating Foundation Models (FMs) for Electroencephalography (EEG) have achieved state-of-the-art performance on multiple tasks including Motor Imagery (MI). Thes…
cs.CV2025
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs
Tekin Gunasar, Virginia de Sa
We propose a method to improve subject transfer in motor imagery BCIs by aligning covariance matrices on a Riemannian manifold, followed by computing a new common spatial patterns…