farmsim / farms_network

Generate, simulate and analyze neural networks

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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
  +BEGIN_SRC shell
  
  pip install git+https://gitlab.com/farmsim/farms_network.git#egg=farms_network
  
  +END_SRC
  
  *** For developer installation
  
  +BEGIN_SRC shell
  
  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
  
  +END_SRC
  
  *** For Python 2 user installation
  
  +BEGIN_SRC shell
  
  pip install git+https://gitlab.com/farmsim/farms_network.git@python-2.7#egg=farms_network
  
  +END_SRC
  
  *** For Python 2 developer installation
  
  +BEGIN_SRC shell
  
  git clone https://gitlab.com/farmsim/farms_network.git@python-2.7#egg=farms_network PATH_TO_THE_DIRECTORY cd PATH_TO_THE_DIRECTORY pip install -e . --user
  
  +END_SRC
  
  ** Example
  
  +CAPTION: Danner mouse network
  
  +NAME: fig:danner_network
  
  [[./figures/danner_network.png]]