Command-line reference
python -m neurogenesis
Command |
Purpose |
Key options |
|---|---|---|
|
preset network (column, layered, microcircuit) |
|
|
run the integer reference kernel |
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|
topology and degree statistics |
|
|
three preset networks for the viewer |
|
|
memory and time per neuron model; with |
|
|
fit a Project’s |
|
|
rerun a module’s validation assays (exit 1 on failure) |
|
|
install a module into the local catalogue |
|
|
list installed modules |
|
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dataset size, license, citation; resumable, checksum-verified download |
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check that every parameter of a profile has a status and a source (exit 1 on failure); list parameters with their status; what a project’s parameters rest on ( |
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export the versioned UI schema JSON for the desktop apps |
|
|
write a network (JSON or NGB1) in another format; prints the export report |
|
|
read a network from another format into network JSON |
|
Every command has --help. Worked examples: Tutorial 1 — The command line.
python -m neurogenesis.bridge
JSON-lines server for apps and other programs. No options; see Bridge protocol, version 1.0.
Environment variables
Variable |
Effect |
|---|---|
|
force JAX onto the CPU |
|
fraction of GPU memory JAX may take |
|
calibration cache directory (default |
|
module catalogue directory (default |
|
dataset cache; extra manifest directory |
|
pharmacology profile directory |
PLACEHOLDER
Planned: neurogenesis run, neurogenesis stages --json, neurogenesis data list.