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Faiku

Haiku and glyph-tracing experiment using MaleCNS simulation and mushroom-body-inspired reinforcement, with a separate reduced fallback model.

MaleCNS
Fidelity · reviewed
L2 Plasticity

Synapses change under a modeled rule grounded in fly biology — for example dopamine-gated change on Kenyon-cell → MBON synapses in the mushroom body. Learning begins here.

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The evidence

No evidence, no level.
Rating note

The default run is a Shiu-style LIF simulation of the packed MaleCNS v1.0 graph (166,700 cells, -52 mV rest, -45 mV threshold, refractory period), and the ink-match reward drives Hige-style PAM LTD / PPL1 LTP that writes new values into the CSR weight array of the live network on KC->MBON edges, bounded to 0.05x-1.6x baseline, restricted to Kenyon cells that actually spiked. Reward and punishment are also injected as current into the real PAM and PPL1 populations, so the dopamine cells spike as well, although the gating term for the weight update is a scalar PAM/PPL1 trace rather than those cells' measured firing rate - a reviewer may reasonably want that noted. A small 8x3 motor map is trained on top as the pen, but it sits alongside the connectome update rather than in place of it. The separate --mb-only fallback is a 24-number control law with no connectome and should not be what this rating is read against. No validation mark: no comparison against real fly measurements is published, and RESEARCH.md is explicit that this is an engineered sensor/actuator sandwich around real connectome dynamics, not a fly that composes.

Record

CategoryLanguage, art & other
DatasetsMaleCNS
LevelL2 — reviewed
Listed incobanov/awesome-fly · townie/awesome-fruit-fly
First indexed2026-09-15

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