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.NE2017
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Shuai Tang, Hailin Jin, Chen Fang +2
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language. In this paper, we explore an a…