Papers
1–4 of 4Autoregressive Visual Decoding from EEG Signals
Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due to their cost-effectiveness and high temporal resolution. However, current approaches face significa...
Driver-Intention Prediction with Deep Learning: Real-Time Brain-to-Vehicle Communication
Brain-computer interfaces (BCIs) allow direct communication between the brain and electronics without the need for speech or physical movement. Such interfaces can be particularly beneficial in applic...
ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral representations offer mo...
Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
During music listening, cortical activity encodes both acoustic and expectation-related information. Prior work has shown that ANN representations resemble cortical representations and can serve as su...