新AI模型解码脑信号，提供医学和认知见解

报道来源 [3]

1. arXiv cs.AI TIER_1 English(EN) · Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee, Taeyang Lee, Seong Jin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo, Chun Kee Chung, Jiook Cha · 2026-05-26 04:00

   DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations

   arXiv:2512.19097v3 Announce Type: replace-cross Abstract: Intracranial EEG (iEEG) provides direct, millisecond-scale recordings of human neural activity, but reusable representation learning is difficult because electrode layouts, anatomical coverage, referencing schemes, and rec…

2. arXiv cs.AI TIER_1 English(EN) · Dongyi He, Bin Jiang, Kecheng Feng, Luyin Zhang, Ling Liu, Yuxuan Li, Yun Zhao, He Yan · 2026-05-26 04:00

   Non-Invasive Reconstruction of Intracranial EEG Across the Deep Temporal Lobe from Scalp EEG based on Conditional Normalizing Flow

   arXiv:2603.03354v3 Announce Type: replace-cross Abstract: Although obtaining deep brain activity from non-invasive scalp electroencephalography (sEEG) is crucial for neuroscience and clinical diagnosis, directly generating high-fidelity intracranial electroencephalography (iEEG) …

3. arXiv cs.CV TIER_1 English(EN) · Chi Kit Wong, Yan Liu, Haowen Yan · 2026-05-26 04:00

   Brain-to-Image Retrieval and Reconstruction via Multimodal EEG Alignment

   arXiv:2605.23996v1 Announce Type: new Abstract: We present a brain-to-image system that decodes visual stimuli from EEG signals recorded during natural image viewing. Our system addresses two tasks: (1) EEG-to-image retrieval, which ranks the correct stimulus image among 200 cand…