This is a simulation of a neural network exhibiting emergent intelligence. Each glowing dot is a neuron with its own activation potential.
Firing: When a neuron's potential crosses its threshold, it "fires" — sending signals along its connections to neighboring neurons. The bright coral glow indicates a firing neuron.
Signals: The yellow pulses traveling along connections are action potentials — electrical signals carrying information through the network.
Hebbian Learning: "Neurons that fire together, wire together." Connections strengthen when the sending and receiving neurons fire in close succession, and weaken otherwise. Watch the connection lines grow brighter over frequently-used pathways.
Emergence: No central controller exists. Complex, seemingly intelligent behavior emerges purely from simple local rules — each neuron only knows about its immediate neighbors, yet the collective produces coordinated cascades of activity.
Spontaneous Activity: Random background firing mimics biological neural noise, occasionally triggering cascades that propagate through the network like thoughts arising unbidden.
Each seed generates a unique network topology with different cluster arrangements and connection patterns. Some seeds produce tightly coupled networks with rapid signal propagation; others create sparse, contemplative networks with isolated regions.