Binocular Rivalry: Mutual-Inhibition Model of Perceptual Bistability
A live reciprocal-inhibition neural rate model of binocular rivalry: two competing neuron populations fight for perceptual dominance, with spike-frequency adaptation forcing periodic switches — exactly the mechanism behind alternating conscious percepts.
When each eye is shown a different image, conscious perception does not merge them — it flips between one and the other every few seconds, without any change in the physical stimulus. This simulator renders a real reciprocal-inhibition neural rate model (Wilson 2003 / Laing & Chow 2002): two populations of neurons, visualised as two clusters of instanced spheres, compete for dominance while spike-frequency adaptation slowly undermines whichever one is currently winning. Adjust the input drive, mutual-inhibition strength, adaptation strength and noise level and watch the switching dynamics change live, with the currently "perceived" grating shown on the central screen and running statistics on dominance duration and switch count.
A live reciprocal-inhibition neural rate model of binocular rivalry: two competing neuron populations fight for perceptual dominance while spike-frequency adaptation forces the percept to periodically switch, exactly as it does when each eye sees a different image.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install