Deep Continuous Local Learning (DECOLLE)

DECOLLE is an online learning framework for spiking neural networks. The algorithmic details are described in this Frontiers paper. If you use this work in your research, please cite as:

@ARTICLE{decolle2020,
AUTHOR={Kaiser, Jacques and Mostafa, Hesham and Neftci, Emre},
TITLE={Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)},
JOURNAL={Frontiers in Neuroscience},
VOLUME={14},
PAGES={424},
YEAR={2020},
URL={https://www.frontiersin.org/article/10.3389/fnins.2020.00424},
DOI={10.3389/fnins.2020.00424},
ISSN={1662-453X}

Installing

Clone and install. The Python setuptools will take care of dependencies

git clone https://github.com/nmi-lab/decolle-public.git
cd decolle-public
python setup.py install --user

The following will run decolle on the default parameter set

cd scripts
python train_lenet_decolle.py

All parameter sets are contained in scripts/parameters, you can use them as such:

cd scripts
python train_lenet_decolle.py --params_file=parameters/params_dvsgestures_torchneuromorphic_attention.yml

Authors

• Emre Neftci - Initial work - eneftci
• Jacques Kaiser - jackokaiser
• Massi Iacono - miacono

License

This project is licensed under the GPLv3 License - see the LICENSE.txt file for details