Package to study structure and activity in neuronal networks

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  • License: GNU General Public License v3 (GPLv3) (GPL3)
  • Author: Tanguy Fardet
  • Tags network, graph, structure, simulation, neuron, NEST, DeNSE, topology, growth
  • Requires: Python >=3.5, <4
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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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Avatar for Silmathoron from gravatar.com Silmathoron Avatar for tfardet from gravatar.com tfardet

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  • License: GNU General Public License v3 (GPLv3) (GPL3)
  • Author: Tanguy Fardet
  • Tags network, graph, structure, simulation, neuron, NEST, DeNSE, topology, growth
  • Requires: Python >=3.5, <4
Classifiers

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2.8.0

2.7.3

2.7.2

2.7.1

2.7.0

2.6.0

2.5.3

2.5.2

2.5.1

2.5.0

2.4.0

2.3.0

2.2.1

This version

2.2.0

2.1.0

2.0.1

2.0.0

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0a2 pre-release

1.0.0a1 pre-release

0.9.dev3 pre-release

0.9.dev2 pre-release

0.9.dev1 pre-release

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nngt-2.2.0.zip (1.8 MB view hashes)

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nngt-2.2.0-cp38-cp38-manylinux1_x86_64.whl (1.6 MB view hashes)

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nngt-2.2.0-cp37-cp37m-manylinux1_x86_64.whl (1.5 MB view hashes)

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nngt-2.2.0-cp36-cp36m-manylinux1_x86_64.whl (1.5 MB view hashes)

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nngt-2.2.0-cp35-cp35m-manylinux1_x86_64.whl (1.5 MB view hashes)

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