Dynapse model Equation Image
pip install git+https://github.com/ferqui/DynapSEtorch.git
| Example | Colab link |
|---|---|
| ARCANA comparison with Brian2 simulation. |  |
| Learning using BPTT surrogated gradient on DynapSE neuron model. | |
| Mismatch on DynapSE neuron model. | |
| Reconstruction of a ADM codified signal. | |
If you want to contribute to this package development code, you can install it in edit mode:
git clone https://github.com/ferqui/DynapSEtorch.git
cd DynapSEtorch
pip install -e .
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 ....
If you find ARCANA useful in your work, please cite the following source:
LINK to reference
@misc{quintana2024ARCANA,
title={A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures},
author={Fernando M. Quintana and Maryada and Pedro L. Galindo and Elisa Donati and Giacomo Indiveri and Fernando Perez-Peña},
year={2024},
eprint={2409.14918},
archivePrefix={arXiv},
primaryClass={cs.NE},
url={https://arxiv.org/abs/2409.14918},
}
ARCANA source code is published under the terms of the GPL-3.0 license. ARCANA's documentation is licensed under Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)