neuromotifs

Name	neuromotifs JSON
Version	0.1.0a2 JSON
	download
home_page	None
Summary	Geometry-aware network motif analysis for neocortical microcircuits
upload_time	2025-08-08 20:57:25
maintainer	None
docs_url	None
author	Eyal Gal, Rodrigo Perin, Henry Markram, Michael London, Idan Segev
requires_python	>=3.10
license	MIT
keywords	neuroscience motifs networks geometry microcircuit
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            # neuromotifs
Python tools to load neuronal microcircuit geometry, generate geometry-aware null models, and quantify over/under-expression of 3-node motifs.

> Paper: *Neuron Morphological Asymmetry Explains Fundamental Network Stereotypy Across Neocortex* (Gal et al.)

## Install
```bash
pip install neuromotifs
# or, for dev
pip install -e .[dev]
```

## Highlights
- Motif counting for directed triplets (#1-#13)
- Geometry-driven random graph generators (1st-5th order) mirroring the paper’s models
- Reproducibility notebooks for Figures 1-4
- Simple CLI: `neuromotifs motifs`, `neuromotifs generate`, `neuromotifs fit`

## Quickstart
```python
# TBD
```

## Data
- `data/nmc/` contains tiny demonstrators only.
- For full datasets, see `data/README.md` for scripted download instructions.

## Citing
Please cite the paper and this package (see `CITATION.cff`).

            

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