Doodle Fly
Doodle-Jump-style browser game steered by the whole FlyWire v783 brain: 138,639 LIF neurons with the Shiu et al. 2024 model and parameters run in a Web Worker; the target platform drives LC10a on one side, and six descending-neuron types (incl. DNa02), right minus left, press the left and right buttons after a start-up calibration. The sugar -> proboscis and looming -> giant-fibre circuits are live too. Full retained graph; target selection, LC10a drive and the button readout are hand-made; nothing is trained. Reports controls: 0-1 falls in 2 minutes intact, 41-44 with the eyes swapped, hopping in place when blind.
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No evidence, no level.Nothing filed yet. The description above is carried over from cobanov/awesome-fly and 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 →MaleCNS simulation connected to ViZDoom through modeled visual inputs and a fixed button readout. Includes plasticity experiments and negative validation results; learned survival has not been demonstrated.
Research framework comparing a MaleCNS-constrained sparse recurrent controller with rewired graphs, conventional neural networks, and other controls on simple VizDoom tasks.
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