3 papers
cs.AI2026
EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks
Yangxuan Zhou, Sha Zhao, Jiquan Wang +2
Electroencephalography (EEG) is the cornerstone of non-invasive brain-computer interfaces (BCIs), yet conventional decoding relies on fragmented, task-specific architectures that s…
q-bio.NC2025
The Cost of Simplicity: How Reducing EEG Electrodes Affects Source Localization and BCI Accuracy
Eva Guttmann-Flury, Yanyan Wei, Shan Zhao +2
Electrode density optimization in electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) requires balancing practical usability against signal fidelity, particularly f…
q-bio.NC2025
From Noise to Insight: Visualizing Neural Dynamics with Segmented SNR Topographies for Improved EEG-BCI Performance
Eva Guttmann-Flury, Shan Zhao, Jian Zhao +1
Electroencephalography (EEG)-based wearable brain-computer interfaces (BCIs) face challenges due to low signal-to-noise ratio (SNR) and non-stationary neural activity. We introduce…