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Package to study structure and activity in neuronal networks

Project description

NNGT provides a unified interface to use three of the main Python graph libraries (graph-tool, igraph, and networkx) in order to generate and study neuronal networks. It allows the user to easily send this graph to the NEST simulator, the analyze the resulting activity while taking structure into account.

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Files for nngt, version 2.5.3
Filename, size File type Python version Upload date Hashes
Filename, size nngt-2.5.3.zip (3.7 MB) File type Source Python version None Upload date Hashes View
Filename, size nngt-2.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB) File type Wheel Python version cp310 Upload date Hashes View
Filename, size nngt-2.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size nngt-2.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size nngt-2.5.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size nngt-2.5.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB) File type Wheel Python version cp36 Upload date Hashes View

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