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PersonConnectome

People Playground Human driven by a thresholded MaleCNS-derived LIF graph. Game senses (injury, looming, audio, liquids as telemetry) map to a frozen decoder; it does not learn from staying alive.

MaleCNS
Fidelity · reviewed
L1 Dynamics

Neurons are simulated — leaky integrate-and-fire or better — with documented, tuned parameters.

Dispute this rating →

The evidence

No evidence, no level.
Rating note

A MaleCNS-derived thresholded graph (176,422 neurons, 6,287,749 connections at synapse weight >= 5) run as a sparse leaky integrate-and-fire brain in C#: membrane potential decays multiplicatively each tick, accumulates clamped synaptic input, fires past threshold, then resets with a five-tick refractory period. Not L2: the connectome asset exposes weights through a read-only WeightAt accessor over an immutable array, and no code path writes a weight; a grep for plasticity, STDP, dopamine or a learning rate across the C# sources returns nothing. The README states it plainly: 'The connection weights stay fixed... the controller does not learn from experience or improve simply by staying alive.' The fly-to-human motor decoder is engineering, and the project is careful to label it as such rather than as biology.

Record

CategoryGames & control
DatasetsMaleCNS
LevelL1 — reviewed
Listed intownie/awesome-fruit-fly
First indexed2026-09-15

Ratings on thelearningfly.com are proposals, not verdicts. Every one of them is arguable in public.