Spiking Neural Networks Tutorials

Interactive Tutorials on Training Spiking Neural Network Using Backpropagation based on snnTorch

Tutorial	Title	Colab Link
Tutorial 1	Spike Encoding with snnTorch
Tutorial 2	The Leaky Integrate and Fire Neuron
Tutorial 3	A Feedforward Spiking Neural Network
Tutorial 4	2nd Order Spiking Neuron Models (Optional)
Tutorial 5	Training Spiking Neural Networks with snnTorch
Tutorial 6	Surrogate Gradient Descent in a Convolutional SNN

Citation

If you find these tutorials useful in your work, please consider citing the following source:

Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu “Training Spiking Neural Networks Using Lessons From Deep Learning”. arXiv preprint arXiv:2109.12894, September 2021.

@article{eshraghian2021training,
title={Training spiking neural networks using lessons from deep learning},
author={Eshraghian, Jason K and Ward, Max and Neftci, Emre and Wang, Xinxin
and Lenz, Gregor and Dwivedi, Girish and Bennamoun, Mohammed and Jeong, Doo Seok
and Lu, Wei D},
journal={arXiv preprint arXiv:1906.09395},
year={2021}
}

Acknowledgments

These tutorials were written by Jason K. Eshraghian in the Lu Group (University of Michigan).

License & Copyright

The Colab notebooks are licensed under the GNU General Public License v3.0: https://www.gnu.org/licenses/gpl-3.0.en.html.