Fly Abstraction Lab

A bench for one question: does connectome topology change how a reservoir transfers numeric abstractions, compared with matched graph controls and ordinary networks. Four controls sit beside the real FAFB v783 graph, degree-preserving, weight-shuffled, direction-shuffled and Erdos-Renyi, each keeping the same input and output node mappings, and the baselines are a random-graph reservoir, a GRU and an MLP. Splits are deterministic manifests with hashes, the pilot dataset is a 768-row UCI table, and the README says plainly that a model difference would not establish animal cognition.

Official site ↗

#reservoir#graph-controls#protocol#reproducibility#flywire