Neural Network Forward Pass

Simulates a forward pass through a feedforward neural network: signals originate at the input layer and propagate layer-by-layer along weighted connections, each arriving pulse triggering the receiving node to "activate" and glow before the signal continues onward. Nodes are rendered as emissive sphere meshes paired with additive-blended glow sprites, connections are a single THREE.LineSegments BufferGeometry per layer-gap, and the traveling signals themselves are pooled sprite objects lerped along each connection over time rather than fired as literal particle systems.

Layers6
Total Nodes52
Connections450
Pulse Pool200
TechniquePooled sprite pulses + LineSegments