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CRITICAL

Plasticity in a spiking Reservoir with a regulation based on critical branching factors. Also inspired from astrocytes, illustration on speech.

Paper to cite

Simon Brodeur and Jean Rouat, Regulation toward Self-Organized Criticality in a Recurrent Spiking Neural Reservoir, int. Conf. on Artificial Neural Networks and Machine Learning, pp. 547-554, 2012 http://dx.doi.org/10.1007/978-3-642-33269-2_69, preprint: https://www.gel.usherbrooke.ca/rouat/publications/paper_ICANN_2012SimonBrodeurJeanRouatSherbrooke.pdf

Capture d’écran, le 2022-02-15 à 16 44 28

Dependencies

Main requirements:

  • Python 3.6 wit Numpy, Scipy and Matplotlib
  • Brian2

Setup Anaconda environment

conda create -n critical python=3.6 pip
source activate critical

conda install matplotlib nose
conda install -c conda-forge brian2

Downloading the code

Download the source code from the git repository:

mkdir -p $HOME/work
cd $HOME/work
git clone https://github.com/NECOTIS/CRITICAL.git

Running unit tests

Make sure the project is in the Python path:

export PYTHONPATH=$HOME/work/CRITICAL:$HOME/work/CRITICAL/test:$PYTHONPATH

This can also be added at the end of $HOME/.bashrc

To ensure all libraries where correctly installed, it is advised to run the test suite:

cd $HOME/work/CRITICAL/test
./run_tests.sh

Note that this can take a little while.

Running experiments

Make sure the project is in the Python path:

export PYTHONPATH=$HOME/work/CRITICAL:$HOME/work/CRITICAL/test:$PYTHONPATH

This can also be added at the end of $HOME/.bashrc

cd $HOME/work/CRITICAL/scripts/experiments/poisson
python main_poisson_input.py

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Spiking Reservoir with a critical branching factor

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