Synaptera
Pre-registered FlyWire whole-brain LIF (138,639 neurons) on a NeuroMechFly body: take off, pass two towers, land, and feed. The only brain decision that met the criteria is feeding (MN9), and the sugar input is a hand-made shortcut from a foot touching the platform. The DNp15 steering readout failed its check. The final run failed the tower criterion. Navigation, altitude, and landing are hand-made. Local.
Nobody has read this one closely enough to attach evidence to a level. Until they have, it stays unrated — a guess would be worse than a gap.
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No evidence, no level.Nothing filed yet. The description above is carried over from townie/awesome-fruit-fly, which is a source review — not an independent reproduction, and not enough on its own to earn a level.
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All projects →Research code for the Shiu et al. connectome-based leaky integrate-and-fire model, including activation/silencing experiments, notebooks, and FlyWire data configuration.
FlyWire whole-brain LIF implementation based on Shiu et al., with multiple simulation backends and benchmarking tools. This repository supplies the neural model; it is not a complete embodied demo package.
Ratings on thelearningfly.com are proposals, not verdicts. Every one of them is arguable in public.