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Brain: The ultimate hack

Claims an open-source JavaScript BCI that actually reads a 14-electrode wireless EEG into Node.js via native C++ USB bindings, runs in Electron with Vue, and implements signal processing plus neural nets. Uses the P300 oddball paradigm, records at 128–256 Hz, filters 1–12 Hz, downsamples to 32 samples, and classifies with a Bayesian LDA classifier (and optional MATLAB eigenvector server). Demo streams live but consumer hardware yields noisy, slow results—typical throughput 10–25 chars per minute and frequent retraining is required.

AI-written summary · about

  1. 0:00Start
  2. 14:04Machine Learning Problem
  3. 17:29Brain Monitor
  4. 18:46Brain Bits
  5. 23:47Nyquist Theorem
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