SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction
cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Terminology
Sources
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- BioSerenity-E1: a self-supervised EEG model for medical applications
- Neuro-GPT: Towards A Foundation Model for EEG
- REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
- NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
- MANAS-2: Constrained Reconstruction for EEG Foundation Models
- Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
- BandVQ: Band-Wise Vector-Quantized EEG Foundation Model
- Understanding and Correcting Low-Frequency Bias in EEG Foundation Model
- CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
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