🧠 Emergent Synchronization Field: Kuramoto Oscillators in Space (3D)
A field of phase oscillators scattered through 3D space and locally coupled to their nearest neighbors — the Kuramoto model, the real coupled-oscillator mathematics neuroscience uses to describe how large-scale phase coherence can emerge from many simple local interactions, with a live order-parameter readout.
The original page at this URL was a decorative placeholder — a gradient card reading "Simulation Space Consciousness Simulation will appear here" with no actual engine behind it. This 3D companion instead builds the real mechanic its title gestures at: a scientifically grounded model of how coherence can emerge from a distributed system without any central controller. It scatters a cloud of phase oscillators through a 3D volume, wires each one to its five nearest spatial neighbors, and integrates the Kuramoto coupled-oscillator equations on every frame — the same mathematics used in neuroscience to describe large-scale brain-wave synchronization (phase-locking across EEG/MEG channels) and, more broadly, a canonical model for emergent order in complex systems from firefly flashing to power-grid stability. Raise the coupling strength K and watch the field's order parameter r climb from near-zero (random, incoherent phases, shown as scattered colors) toward 1 (a single locked rhythm, shown as the whole field pulsing in the same hue) — a live, adjustable demonstration of a synchronization phase transition.
3D field of Kuramoto phase oscillators with k-nearest-neighbor local coupling, RK-Euler phase integration each frame, and a live-computed order parameter r = |⟨e^(iθ)⟩| driving both a numeric readout and per-node color/scale.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install
r is the magnitude of the average phase vector across every oscillator, ranging 0 to 1. r near 0 means phases are scattered randomly (incoherent); r near 1 means nearly every oscillator has locked into the same phase (fully synchronized). It's the same quantity used to score phase-locking in real EEG/MEG brain-signal analysis.
Each oscillator nudges its neighbors' phases toward its own, proportional to K. Below a critical K the random natural frequencies (spread σ) win and the field stays incoherent; above the critical K, the coupling term dominates and neighboring oscillators drag each other into a shared rhythm — a synchronization phase transition, first described by Yoshiki Kuramoto in 1975.
Coupled-oscillator synchronization is one of the mathematical tools real neuroscience uses to study integrated brain activity — large-scale phase-locking across cortical regions correlates with conscious states in some theories. This simulation demonstrates that underlying mathematics honestly; it is an illustrative model, not a claim to simulate consciousness itself.