firefly
PixelML
A control study, not a demo. 18,318 deduplicated satellite tiles of structure wildfire damage are sampled into 99 retinal patches, injected into a frozen MaleCNS v1.0 network (166,700 neurons and 25.6M synapses by its count), read out after 48 ticks as log1p spike counts from a fixed 1,024-neuron set, and classified by a 64-unit MLP. The controls are the point: real wiring reaches ROC-AUC 0.622, a shuffled connectome 0.625, all-excitatory 0.642, random sparse wiring 0.632, and pooled pixels 0.711. On this task the measured wiring buys nothing over a scrambled one, and loses to plain pixels.
Sources checked
Every fact above was read from these pages on the date the entry was added.
- api.github.com https://api.github.com/repos/PixelML/firefly
- raw.githubusercontent.com https://raw.githubusercontent.com/PixelML/firefly/HEAD/README.md
- api.github.com https://api.github.com/repos/PixelML/firefly/contents/results
- raw.githubusercontent.com https://raw.githubusercontent.com/PixelML/firefly/HEAD/results/benchmark.json