Home▸Neuroscience & Biophysics▸Synaptic Scaling 2D: Hebbian Plasticity vs Homeostatic Scaling

Synaptic Scaling 2D: Hebbian Plasticity vs Homeostatic Scaling

2D companion to the 3D synaptic-scaling-homeostatic-plasticity-lab scene: real per-synapse Hebbian (rate-covariance) weight updates on a fast timescale, balanced against a slow multiplicative homeostatic scale factor that pulls the neuron's running-average firing rate back to a target setpoint.

Neuroscience & Biophysics2DModerate60 FPS⇄ 3D version

Details

CategoryNeuroscience & Biophysics

RenderingCanvas 2D

DifficultyModerate

Target FPS60

ControlsDropdown for network activity preset, simulation speed slider, toggle buttons for Hebbian learning and homeostatic scaling, and Pause/Rebuild buttons, driving a scrolling firing-rate chart against its target setpoint plus a live per-synapse weight bar chart.

synaptic-scalinghomeostatic-plasticityhebbian-learningneurosciencesynapsesneural-networksturrigianofiring-rate-setpoint

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This is the 2D counterpart to the 3D synaptic-scaling-homeostatic-plasticity-lab scene. Eight synapses feed a single neuron, each carrying a fixed correlation with a shared background stimulus. A genuine per-synapse Hebbian rule — potentiation or depression proportional to how well a synapse's own presynaptic drive tracks the neuron's deviation from its target firing rate — runs on a fast timescale, while a slow multiplicative homeostatic scale factor renormalizes every synapse together to pull the running-average firing rate back toward its setpoint, preserving the relative pattern of strong and weak synapses the Hebbian rule just created. Watch the scrolling firing-rate trace against its target line and the live weight bars respond as you change the activity preset or toggle either mechanism off.

⚙ Under the hood

2D companion to the 3D synaptic-scaling-homeostatic-plasticity-lab scene: a genuine per-synapse rate-covariance Hebbian update runs on a fast timescale across eight synapses with fixed correlations to a shared stimulus, while a slow multiplicative homeostatic scale factor renormalizes every synapse together to pull the neuron's running-average firing rate back toward its target setpoint.

synaptic-scalinghomeostatic-plasticityhebbian-learningneurosciencesynapsesneural-networksturrigianofiring-rate-setpoint

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