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🧪 Synaptic Pruning & Network Efficiency

A real random-graph model of a neural network loses synapses over simulated age -- watch real BFS shortest paths and real global efficiency (1/N(N-1)*sum 1/d_ij) degrade, and compare uniform-random pruning against usage-weighted weakest-synapse-first pruning.

Neuroscience & Biophysics2DModerate60 FPS📱 Mobile-adapted
aging-cognitive-aging-simulation ↗ Open standalone
⚙ Under the hood

Explore age-related synaptic loss in neural networks through random or weakest-first pruning, measuring global efficiency and shortest path length.

network sciencegraph theorysynaptic pruningglobal efficiencyagingshortest pathconnectome

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

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