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fly-craftax

Connectome simulation connected to Craftax, with PPO training of a descending-neuron readout, baseline comparisons, and a replay viewer. Research prototype.

Research prototype
Fidelity · reviewed
L1 Dynamics

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

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The evidence

No evidence, no level.
Rating note

A Shiu et al. 2024 LIF reimplemented in JAX with full parameters (dt 0.1 ms, v_rest/v_reset -52 mV, v_th -45 mV, t_mbr 20 ms, tau 5 ms, refractory 2.2 ms, delay 1.8 ms, w_syn 0.275 mV) and careful attention to matching Brian2's refractory write semantics. That earns L1. Not L2: the project's own PPO module opens with the line that the brain stays frozen, and the parameter dict handed to the optimiser contains only the linear readout weights W, b and the value head vw, vb over descending-neuron rates. No connectome weight is ever in the optimiser or written during a rollout. This is the trained-readout-on-a-frozen-graph pattern, done cleanly and labelled as such.

Record

CategoryGames & control
DatasetsNot detected
LevelL1 — reviewed
Listed incobanov/awesome-fly
First indexed2026-09-15

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