BrainHiFi

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.