# BrainHiFi

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Jing Xiang](https://cerebralvalley.ai/u/brainx888)
- **GitHub:** https://github.com/brainx888/BrainHiFi
- **Demo video:** https://www.youtube.com/watch?v=RI1C7uMcN98
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1517

BrainHiFi is a high-fidelity brain-computer interface (BCI) platform. It decodes a person's intent from high-frequency MEG/EEG brain signals combined with a detailed MRI model of their head, and turns that intent into control commands for robots.

Clean signals: SSS noise suppression plus Remez and Kalman filtering remove interference in real time.
Locate activity: lead-field modeling, sLORETA and DICS work out where in the brain each signal comes from.
Decoding features: cross-frequency coupling captures how brain rhythms interact.
Meta AI: SAM 3.1 segments the MRI anatomy, and the Meta AI LLM helps interpret the decoded patterns as commands.
Control: the decoded intent drives robotic movement.

Today's brain research and BCIs mostly read low-resolution scalp signals from small groups of sensors. They can usually tell apart only a few coarse commands, need a lot of training per user, and are noisy, which keeps robot control slow and unreliable. Most of them also throw away two things: high-frequency brain activity, where much of the fast, fine-grained information is, and the individual anatomy of each user's head and brain.

BrainHiFi uses both. It projects the signals onto each user's own MRI-based brain model and keeps the high-frequency content, so it can separate more distinct intentions with better accuracy. That moves non-invasive BCIs from "yes/no" switches toward precise, natural control of robotic devices, without brain surgery.

## More from Meta Global AI Developer Hackathon

- [Gruya](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1514)
- [TheTizzrs](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1515)
- [BioComputational](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1516)
- [ProtocolEye](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1518)
- [SignBridge AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1519)
- [Shadow Fenced AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1520)

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