Predicting Cognitive Tasks from Single-Channel EEG through Task-Semantic Alignment
q-bio.NC
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
- Scaling laws for decoding images from brain activity
- CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
- SingLEM: Single-Channel Large EEG Model
- Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models
- NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
- LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
- EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding
- EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
- In Search of Lost Domain Generalization
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