DesktopFly
A macOS desktop fly combining FlyWire spiking circuits with a MaleCNS brain-to-leg extract, modeled senses, and articulated behavior. Includes an Electron port.
Neurons are simulated — leaky integrate-and-fire or better — with documented, tuned parameters.
Dispute this rating →The evidence
No evidence, no level.LIF constants: 20 ms membrane time constant on a 1 ms step, unit threshold, 2 ms refractory, fixed weight scale.
https://github.com/DenisSergeevitch/desktop-fly/blob/32b00011e83c3dc85fa3ea0b3934155b04f1635d/Sim.swift#L207-L210The spike, reset and synaptic propagation loop reads the weight array but never assigns to it.
https://github.com/DenisSergeevitch/desktop-fly/blob/32b00011e83c3dc85fa3ea0b3934155b04f1635d/Sim.swift#L382-L395Synaptic weights are written exactly once, while building the CSR graph from the connectome data at load time.
https://github.com/DenisSergeevitch/desktop-fly/blob/32b00011e83c3dc85fa3ea0b3934155b04f1635d/Sim.swift#L317-L324The project's own evaluation document states the locomotor upgrade adds no learning.
https://github.com/DenisSergeevitch/desktop-fly/blob/32b00011e83c3dc85fa3ea0b3934155b04f1635d/EVALUATION.md#L188-L192
A 668-neuron FlyWire v783 circuit (LC4/LPLC2 looming detectors, the Giant Fiber pair, DNa01/DNa02 steering, DNp09, DNg11, MDN and their strongest partners) with 18,968 real signed connection rows runs as a 1 kHz leaky integrate-and-fire simulation - 20 ms membrane tau via a 0.9512 per-ms decay, unit threshold, 2 ms refractory, delayed inhibition queue - plus a 1,045-neuron MaleCNS brain-to-leg extract driving articulated joints. Documented neuron dynamics on real connectivity is L1. Not L2: the weight array is filled once while building the CSR from the connectome file and is only read inside the propagation loop; a repository-wide grep for plasticity, STDP, dopamine or any learning rate returns nothing in the Swift or JS sources. EVALUATION.md states the locomotor upgrade does not add learning.
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