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Hebbian Synaptic Plasticity Simulator

Interactive Hebbian learning simulator: watch a 10-neuron network's synaptic weight matrix strengthen when neurons fire together and decay when they don't, with learning rate, decay and stimulation pattern tunable in real time.

Neuroscience & Biophysics2DEasy60 FPS📱 Mobile-adapted⇄ 3D version

Neuroplasticity begins at the synapse: repeated, correlated firing between two neurons physically strengthens the connection between them (long-term potentiation), while uncorrelated or inactive pairs drift back down (long-term depression and homeostatic scaling). This simulator makes that rule visible — a small ten-neuron network is stimulated pulse by pulse, its full synaptic weight matrix rendered live as a heatmap below the network diagram, so you can watch structure emerge from nothing but a local, activity-dependent update rule. Switch between correlated and random stimulation, and tune the learning rate and decay to see how quickly (or whether) stable wiring forms.

⚙ Under the hood

Explore how Hebbian learning shapes neural connections in a simple network. Toggle between correlated and random stimulation to see how weights change.

neuroscienceplasticitylearningsynapses

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install