Neuron Avalanche

1D Ising chain of “neighborhoods” as a plinko cascade of bit flips. The orange wave is the spike; blue regions are resting state. The backend tracks flips vs. semantic bits in real time.

Simulation Controls

Plinko-style Ising avalanche

Neighborhoods 200

Temperature T 2.5

Coupling J 0.8

Signal amplitude h₀ 2.0

Propagation speed 0.40 sites/step

Initial cluster size 16

Update interval 40 ms

resting neighborhood (spin −1) excited neighborhood (spin +1) strong local field from spike

Avalanche Snapshot

Ising & IEG metrics (approx.)

Excited fraction

0.00 of neighborhoods

Largest excited cluster

0 neighborhoods

Semantic bits (≈ N·H(p))

0.0 bits

Thermo flips (micro-events)

0 flips

IEG efficiency ≈ 0 semantic bits / flip

IEG Readout

We treat each spin flip as a thermodynamic micro-event and the overall excited fraction as a coarse-grained “semantic channel”. The gap between thermodynamic and semantic bits sketches the Landauer-style efficiency of this toy neuron.

Shannon H(p) per neighborhood

0.00 bits/site

Semantic/thermo ratio

0 (dimensionless)

Estimated Landauer bits*

0 (scaled)

Time steps elapsed

0 steps

*Here we treat each spin flip as one “Landauer-sized” micro-event for visualization purposes. Real neurons sit ~10⁸–10¹²× above the physical kT·ln2 limit; this toy just mirrors the geometric idea.

Ising Neighborhoods

First 80 neighborhoods along the axon-like path

#	State	Neighbor field Σs	Local spike field hᵢ