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Cortical Remapping Diffusion Lab (2D)

Interactive 2D cortical-map reaction-diffusion model: instead of an assumed exponential falloff from the infarct border, this solves a real 2D diffusion PDE for how a Hebbian recruitment signal spreads laterally through peri-infarct cortico-cortical connections, saturating each surviving neuron's synaptic weight toward a self-computed steady state.

Medicine & Biophysics2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version

After an ischemic stroke destroys part of the primary motor cortex, the hand representation can partially rebuild itself as surviving peri-infarct tissue is recruited through activity-dependent plasticity. The 3D version of this simulator drives that recruitment with an assumed exponential falloff from the infarct border. This 2D cross-section instead solves it directly: a genuine 2D reaction-diffusion PDE integrates a synaptic-weight field across the cortical patch by explicit finite differences every frame, so recruitment signal really has to propagate outward through peri-infarct connections rather than being read off a distance formula. Detonate an infarct of chosen size, tune training intensity, plasticity rate and — new to this version — the lateral diffusion coefficient itself, and watch the recovered map, its centroid shift and the dead-tissue fraction emerge from the solved field in real time.

⚙ Under the hood

Solve a real 2D reaction-diffusion PDE for post-stroke cortical remapping: a Hebbian recruitment signal spreads laterally through peri-infarct cortico-cortical connections instead of following an assumed exponential falloff, saturating each surviving neuron's synaptic weight toward a self-computed steady state.

strokeneuroplasticitymotor cortexrehabilitationneuroscienceHebbian learningreaction-diffusionPDE

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