4 papers
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…
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…
Monkey Perceptogram: Reconstructing Visual Representation and Presumptive Neural Preference from Monkey Multi-electrode Arrays
Teng Fei, Srinivas Ravishankar, Hoko Nakada +5
Understanding how the primate brain transforms complex visual scenes into coherent perceptual experiences remains a central challenge in neuroscience. Here, we present a comprehens…
Decoding Imagined Handwriting from EEG
Srinivas Ravishankar, Nora Zajzon, Virginia de Sa
Patients with extreme forms of paralysis face challenges in communication, adversely impacting their quality of life. Recent studies have reported higher-than-chance performance in…