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SSVEP Frequency-Tagged BCI Speller

Interactive 3D SSVEP brain-computer-interface simulator: four flickering targets tag the EEG signal at their own frequency, a Goertzel spectral decoder picks out which one the virtual user is attending, and you tune noise, attention gain and window length to see decode accuracy trade off against speed.

Neuroscience & Biophysics3DAdvanced60 FPS📱 Mobile-adapted⇄ 2D version

Steady-state visual evoked potential (SSVEP) is the workhorse of fast, calibration-free brain-computer interfaces: flicker a handful of on-screen targets at distinct frequencies, and the target the user is looking at "tags" their occipital EEG with that same frequency. This simulator renders four flickering targets in 3D, generates a synthetic single-channel Oz signal driven by whichever target you mark as attended (with tunable attention gain and noise), and runs a real Goertzel spectral decoder over a sliding window to guess which target was attended — exactly the pipeline behind real SSVEP spellers, minus the calibration session. Tune noise and window length to see how decode confidence and correct-decode rate trade off against how fast the speller can issue a command.

⚙ Under the hood

Interactive 3D SSVEP brain-computer-interface simulator: four flickering targets tag a synthetic EEG signal at their own frequency, and a real Goertzel spectral decoder picks out which one the virtual user is attending, letting you tune noise, attention gain and analysis window to trade decode accuracy against speller speed.

neuroscienceBCIEEGSSVEPsignal-processingThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install