Fly-brain Worldle

Puts two pieces of real fly data into one agent that guesses a country from its silhouette: flyvis, a frozen connectome-constrained optic lobe model, as the eyes, and a recurrent network wired as the MaleCNS central complex to integrate direction-and-distance feedback across guesses. Only gains, biases and time constants are trained; the graph and the excitatory or inhibitory signs stay fixed. Over all 195 countries it solves 96% within six guesses, but a shuffled central complex reaches 95% and a random stub 95%, and a raw 16x16 pixel input beats the optic lobe on the first guess.

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#flyvis#central-complex#reinforce#shuffled-control#malecns