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Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction

This paper highlights potentials of Convolutional spiking neural networks and introduces a new architecture to tackle training deep convolutional SNN problems.

Prerequisites

The Following Setup is tested and it is working:

Docker

Data preparation

Training & Testing

Citing

Please adequately refer to the papers any time this Work is being used. If you do publish a paper where this Work helped your research, Please cite the following papers in your publications.

@misc{samadzadeh2020convolutional,
        title={Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction},
        author={Ali Samadzadeh and Fatemeh Sadat Tabatabaei Far and Ali Javadi and Ahmad Nickabadi and Morteza Haghir Chehreghani},
        year={2020},
        eprint={2003.12346},
        archivePrefix={arXiv},
        primaryClass={cs.CV}
    }