wjq-learning/CBraMod
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
This tool helps researchers and clinicians interpret raw EEG brainwave data for various applications, from clinical diagnostics to brain-computer interfaces. You input raw EEG recordings, and it processes this complex data to output meaningful insights, such as identifying brain states or decoding intentions. This is designed for neuroscientists, medical researchers working with EEG, and developers creating BCI applications.
276 stars.
Use this if you need a robust, pre-trained model to analyze electroencephalography (EEG) data for research, clinical diagnosis, or brain-computer interface (BCI) development.
Not ideal if you are a general user without a background in neuroscience or machine learning, as this requires technical setup and understanding of EEG data structures.
Stars
276
Forks
38
Language
Python
License
MIT
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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