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Demos

This repository contains end-to-end Timeflux demos.

Currently, you can find:

  • a P300-speller implementing ASAP (Bayesian accumulation of Riemannian probabilities) and other methods ;
  • a hyperscanning demos using Jinja and environment variables for customization ;
  • a fully-configurable oddball protocol with visual, auditory and haptic support ;
  • a simple neurofeedback application based on frequency bands.

More demos will be added soon. Have fun!

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Timeflux demos

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  • JavaScript 55.3%
  • Python 27.4%
  • CSS 9.0%
  • HTML 7.5%
  • Shell 0.8%