Geometry-aware network motif analysis for neocortical microcircuits
Project description
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
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
# TBD
Data
data/nmc/contains tiny demonstrators only.- For full datasets, see
data/README.mdfor scripted download instructions.
Citing
Please cite the paper and this package (see CITATION.cff).
Project details
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