Connectocopter
Whole FlyWire (138,639 neurons, 15.1M connections, Shiu LIF, untrained) reads a simulated quadcopter that can also drive. Escape, beacon, course, and sugar-versus-bitter are scored on held-out seeds. A degree-preserving rewire fails the flights (0/16). Silencing the two giant-fibre neurons abolishes looming escape (0/15). A conventional controller turns those decisions into thrust. Odor search is reported unstable.
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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.
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