- BrainWave: A Brain Signal Foundation Model for Clinical Applications
Here, we present BrainWave, the first foundation model for both invasive and non-invasive neural recordings, pretrained on more than 40,000 hours of electrical brain recordings (13 79 TB of data) from approximately 16,000 individuals
- Fanqi Shen (沈凡琦) - Homepage
This model will facilitate a wide range of clinical applications in medicine, paving the way for AI-driven approaches to investigate brain disorders and advance neuroscience research
- BrainWave: A Brain Signal Foundation Model for Clinical Applications
We have introduced BrainWave, a brain signal foundation model that learns robust representations of electrical brain recordings for a broad range of clinical applications
- GitHub - yzz673 Brant-2
BrainWave is the first foundation model for both invasive and non-invasive neural recordings, pretrained on more than 40,000 hours of electrical brain recordings (13 79 TB of data) from approximately 16,000 individuals
- BrainWave: A Brain Signal Foundation Model for Clinical Applications
BrainWave: A Brain Signal Foundation Model for Clinical Applications Published in arXiv preprint (under review at Nature Neuroscience), 2024 Direct Link
- arXiv:2402. 10251v7 [q-bio. NC] 1 Sep 2025
We have introduced BrainWave, a brain signal foundation model that learns robust representations of electrical brain recordings for a broad range of clinical applications
- Publications - Zhizhang Yuan’s Academic Homepage
Journal Articles BrainWave: A Brain Signal Foundation Model for Clinical Applications Permalink Zhizhang Yuan, Fanqi Shen, Meng Li, Yuguo Yu, Fei Wu, Chenhao Tan, Yang Yang
- Zhizhang Yuans Academic Homepage
I’m a second-year master student from College of Computer Science and Technology, Zhejiang University, fortunately advised by Professor Yang Yang at Zhejiang University I also work closely with Professor Chenhao Tan at the University of Chicago and Professor Meng Li at Chinese Academy of Sciences
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