The graph
65 regional nodes, linked by connections reported in tract-tracing studies. The file holds node IDs and edges — no recordings from individual neurons.
BrainLab takes an openly published graph of connections between regions of the cat cortex and uses it as the fixed skeleton of a small computational experiment.
65 regional nodes, linked by connections reported in tract-tracing studies. The file holds node IDs and edges — no recordings from individual neurons.
Five normalised features feed fixed input weights. Synthetic activity then spreads along the published links for eight updates.
A logistic layer squeezes the final state into one score. Its weights come from a seeded generator and are published with the graph — nothing here has been trained on market history.
The whole experiment is small enough to list on one card. Nothing is hidden behind a server, and nothing is claimed that the numbers cannot support.
Run the computation yourself ↗The score is uncalibrated and has not been evaluated against any market. Treat it as a demonstration of the method, never as a signal to trade on.
It uses a published graph of how regions connect. The activity running over it is artificial. It is not a biological simulation, not a model of individual neurons, and not a reconstruction of how a cat thinks.
Only the inputs you set in the lab. The wiring, the reservoir rule, the input weights and the readout are all fixed. The lab runs entirely in your browser and never fetches prices.
The lab graph draws the actual 65 nodes and 1,139 links on an abstract sphere, not an anatomical layout. Node colours are the computed activations. The cat portrait and the decorative particles are artwork.