phase-brain-run¶

The brain-run phase covers configuring and executing a simulation run — setting duration, time step, inputs, and recording targets, then collecting and sanity-checking outputs.

Approach¶

Locate the model code from .neuroflow/brain-build/ before configuring a run
Write run-config.md first — make run parameters explicit and reproducible
Sanity-check outputs immediately after the run: look for no-spike silence, runaway activity, NaN values, or implausible rates before storing results
Keep run configs versioned in .neuroflow/brain-run/ so runs are reproducible

Relevant skills¶

neuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rules

Workflow hints¶

All simulation output files (spike data, voltage traces, figures) go to output_path (models/results/), not inside .neuroflow/
Save run-config.md and run-summary.md to .neuroflow/brain-run/
Note any run that produces qualitatively new or unexpected behaviour in .neuroflow/reasoning/brain-run.json
For HPC submission: produce a job script (SLURM/PBS) alongside run_sim.py and save both to output_path

Slash command¶

/neuroflow:brain-run — runs this workflow as a slash command.