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FARMS NETWORK

Description :

This respository contains the necessary components to generate, integrate, analyze and visualize neural network models. Currently the following neuron models are implemented :

  • lif_danner
  • lif_danner_nap
  • lif_daun_interneuron
  • hh_daun_motorneuron
  • sensory_neuron
  • leaky_integrator
  • oscillator
  • morphed_oscillator
  • fitzhugh_nagumo
  • matsuoka_neuron
  • morris_lecar

Installation

Requirements

  • Python 2/3
  • Cython
  • pip
  • tqdm
  • numpy
  • matplotlib
  • networkx
  • pydot
  • ddt
  • scipy
  • farms_pylog
  • farms_container

Steps for local install

The master branch is only supports Python 3. For Python 2 installation jump XXXXX

For user installation

pip install git+https://gitlab.com/farmsim/farms_network.git#egg=farms_network

For developer installation

git clone https://gitlab.com/farmsim/farms_network.git#egg=farms_network PATH_TO_THE_DIRECTORY
cd PATH_TO_THE_DIRECTORY
pip install -e . --user

For Python 2 user installation

pip install git+https://gitlab.com/farmsim/[email protected]#egg=farms_network

For Python 2 developer installation

git clone https://gitlab.com/farmsim/[email protected]#egg=farms_network PATH_TO_THE_DIRECTORY
cd PATH_TO_THE_DIRECTORY
pip install -e . --user

Example

./figures/danner_network.png

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Generate, simulate and analyze neural networks

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  • Python 55.6%
  • Cython 44.4%