LaBraM (ICLR 2024 Spotlight)
github.com/935963004/labramLarge brain model for learning generic EEG representations via self-supervised pretraining on large-scale, multi-institutional EEG corpora; introduces a vector-quantized neural tokenizer that unifies heterogeneous electrode configurations into a shared neural codebook vocabulary, enabling single-model pretraining and fine-tuning across diverse montages with strong transfer to sleep staging, abnormal EEG detection, and event type classification benchmarks (674+ stars, MIT License, 2024)
Sourced from
- GitHub — github.com/935963004/labram
- Awesome AI for Science — github.com/935963004/labram
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