How brain simulation mining works

One minute to understand

Input: a permitted neuron, start time, duration and model current. Run: the frozen whole graph and integer point LIF rules. Search: specified G responses under O constraints. Output: complete events and metrics. Verify: replay every required background. Use: compare model responses and deliver auditable task evidence.

A paired comparison

A and B share model, initial state and background seed. B adds the specified stimulus; readouts evaluate B minus A. Leak, input accumulation, threshold firing, reset, refractory time and connection propagation follow the frozen numerical version.

One 1 ms step and 256 steps define 256 ms of model time. Actual device execution time is a separate measurement. Current, membrane state and stimulus cost use model units.

Read a real stored case

Explore a stored complete-model calibration with native replay evidence. Its paired responses, frozen inputs and evaluation windows show how a computational result is reproduced and interpreted.

What the rules mean

G net additional spikes, positive response cells, O absolute change and model stimulus cost are checked in windows relative to stimulus end. R is the number of required backgrounds; it is not biological confidence, a multiplier or a count of independent institutions.