Neuronal Avalanches: Critical Brain Dynamics (2D)
2D lattice branching-process model of cortical neuronal avalanches, paired with a live log-log avalanche-size distribution: tune the branching parameter sigma and watch cascades of firing neurons on a square grid stay subcritical, hit the critical point with a scale-free size distribution, or run away supercritically, per Beggs & Plenz's critical-brain hypothesis.
This is the flat, square-lattice counterpart to the 3D cubic-lattice neuronal-avalanche simulator. Roughly 1,900 model neurons sit on a 2D grid with four nearest neighbours instead of six, running the same Beggs & Plenz branching-process rule: each firing neuron independently activates each quiescent neighbour with probability σ/k. Rather than only reading live numeric stats, this pair renders the grid alongside a continuously updating log-log histogram of completed avalanche sizes, so you can watch the power-law signature of criticality — the actual statistical fingerprint of the critical-brain hypothesis — take shape as you sweep σ across 1.0.
A 2D square-lattice branching-process model of cortical neuronal avalanches, paired with a live log-log histogram of avalanche sizes: tune the branching parameter sigma and watch cascades of firing neurons on a flat grid stay subcritical, hit the critical point with a scale-free size distribution, or run away supercritically, as in Beggs & Plenz's critical-brain hypothesis.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install