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Small Brain. Big Trades.

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README.md

FruitFlyLab

The bench for a FruitFlyBrain: a draggable window with the network's state (simulated time, mean rate, spikes, dropped), its knobs (run, reset, clear drive, gain, time scale, connection threshold), every watched group's live rate with a rolling trace, and a selection line to stimulate, silence, restore, watch or count any set of neurons. With fly set it also shows what that fly senses and does.

A selection is space-separated key:value terms: type:MN9, type:DNa01,DNa02, prefix:JO-, pattern:^LB%d, class:gustatory, super:descending_neuron, side:L, limit:100.

Fields: brain, fly, open, refreshHz. Method: parseSelection(text).

entity.spawn("Lab").component.add("FruitFlyLab", { brain = entity.find("Brain"), fly = entity.find("Fly") })

The experiments guide (guides { path = "experiments" }) is the manual.