Memory Attractor Physics

Spin Glass Simulator

16x16 Binary Spin Lattice

[READY]

“...a broken staircase I find that vanishes into the blue... ruins of memory.”

In a Hopfield network, stored memories create energy wells (attractors) in an Ising spin landscape. Corrupted input relaxes down energy slopes via Metropolis Monte Carlo flips to reconstruct forgotten structure.

Ising Hamiltonian Trajectory

Phase: Ordered Attractor
Energy (E / Spin) -0.1500
Monte Carlo Step 0
Attractor Overlap 0.70
Lattice Magnetization -0.05
Current State: initializing
Hamiltonian Energy E: -0.1500
Monte Carlo Steps: 0
Attractor Retention: 70.0%
Phase Transition Monitor
Low temperature (T < 0.15): Strong attractor convergence. The system descends Hamiltonian slope into stored memory basin.
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