/ARCANA

PyTorch implementation of DynapSE neural model

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Documentation Status Code style: black

Introduction

Dynapse model Equation Image

Requirements

Installation

pip install git+https://github.com/ferqui/DynapSEtorch.git

Examples

Example Colab link
DynapSEtorch comparison with Brian2 simulation. Open In Colab
Learning using BPTT surrogated gradient on DynapSE neuron model. Open In Colab
Mismatch on DynapSE neuron model. Open In Colab
Reconstruction of a ADM codified signal. Open In Colab

Documentation

Contributing

If you want to contribute to this package develop code, you can install it in edit mode:

git clone https://github.com/ferqui/DynapSEtorch.git
cd DynapSEtorch
pip install -e .

Acknowledgments

DynapSEtorch is currently maintained by the University of Cádiz and The Institute of Neuroinformatics (INI), UZH and ETHZ. It was initially developed by Fernando M. Quintana.

Additional contributions were made by ....

Citation

If you find DynapSEtorch useful in your work, please cite the following source:

LINK to reference

  @article{fmquintana2022,
          title   =  {},
          author  =  {},
          journal = {arXiv preprint arXiv:XXXX.YYYYY},
          year    = {202X}
  }

License & Copyright

DynapSEtorch source code is published under the terms of the GPL-3.0 license. DynapSEtorch's documentation is licensed under Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)