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PolskiArtificial Consciousness (2D): Integrated Information Network
A 2D node-link view of the same integrated-information neural network as the 3D version: modules of neurons fire, synchronize and integrate while a live Φ (phi) proxy tracks the result.
This 2D companion runs the exact same diffusion-on-a-graph mechanic as the 3D orbiting-network version, just laid flat: modules of nine neurons each sit in rings arranged around the canvas center, wired in an internal cycle plus a slider-controlled number of cross-module links. Every frame, activation decays, picks up random spontaneous firing, and diffuses along every active edge toward its neighbours — the same equations, the same live Φ (phi) proxy for integrated information, now fully visible as a single flat node-link diagram instead of a rotating 3D scene.
2D node-link integrated-information network: module rings, intra/inter-module edge diffusion, and a live Φ proxy computed from synchrony × integration × mean activation.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install
It is a simplified, illustrative proxy for integrated information — not the real (NP-hard) IIT computation — built from how synchronized the modules are, how densely they are wired together, and how much overall activity is happening.
The signal stays trapped inside its own module: the cluster fires and settles without ever reaching the rest of the network, a "zombie" cluster that is active but not unified with the whole.
Same diffusion-on-a-graph model and the same Φ proxy, redrawn as a flat node-link diagram — modules arranged as rings around a shared center — instead of an orbiting 3D sphere.