---
license: mit
---
# BrainOmni 🧠

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[![Paper](https://img.shields.io/badge/paper-arxiv.2505.18185-red)](https://arxiv.org/abs/2505.18185)
[![Paper](https://img.shields.io/badge/paper-NeurIPS2025-red)](https://neurips.cc/virtual/2025/poster/117066)
[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E)](https://huggingface.co/sigureling/BrainOmni)
[![github](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/OpenTSLab/BrainOmni)

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Official Repository of the paper:
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals (NeurIPS 2025)

## Method
<p align="center">
  <img src="./assets/braintokenizer.png" width="600">
</p>

<p align="center">
  <img src="./assets/brainomni.png" width="600">
</p>

<div align="center">

<b>Overview of BrainOmni</b>

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## 📢 Citation

If you use BrainOmni model or code, please cite the following paper:

> Qinfan Xiao, Ziyun Cui, Chi Zhang, Siqi Chen, Wen Wu, Andrew Thwaites, Alexandra Woolgar,
Bowen Zhou, Chao Zhang (2025) BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals,
_arXiv_, [https://arxiv.org/abs/2505.18185](https://arxiv.org/abs/2505.18185)