CortexBridge: EEGマントーの皮質的アライメントによるファウンデーションモデル
CortexBridgeは、EEGモンタージュを共有された皮質潜在空間に合わせる軽量なアダプターであり、異なる電極配置におけるBCI性能を向上させます。
01
誰に影響するか
- 1CortexBridge
- を使用 →事実
- に依存 →事実
- を使用 →事実
- を使用 →事実
02
根拠
- AarXiv cs.AI一次情報2026-10-02 12:00
We propose CortexBridge, a lightweight adapter that combines EEG features with electrode and atlas coordinates to map arbitrary montages into a shared cortical latent space.
- AarXiv cs.AI一次情報2026-10-02 12:00
Evaluated with three frozen foundation models on five brain-computer interface (BCI) datasets from the Mother of All BCI Benchmarks (MOABB), CortexBridge improves performance in 13 of 15 evaluations.
- AarXiv cs.AI一次情報2026-10-02 12:00
Abstract: Electroencephalography (EEG) foundation models are often pretrained with a fixed channel vocabulary or a limited set of montages, making transfer difficult when electrode layouts change. We propose CortexBridge, a lightweight adapter that combines EEG features with electrode and atlas coordinates to map arbitrary montages into a shared cortical latent space. Evaluated with three frozen…