Awesome

Supervised Spiking Network

PyTorch based implementation of Spiking Neural Network layers:

• SpikingDenseLayer
• SpikingConv1DLayer
• SpikingConv2DLayer
• SpikingConv3DLayer
• ReadoutLayer

including optional lateral and recurrent connections.

If you use this code, please consider citing: R. Zimmer, T. Pellegrini , S. F. Singh, and T. Masquelier. Technical report: supervised training of convolutional spiking neural networks with PyTorch. In https://arxiv.org/abs/1911.10124

This work is based on F. Zenke's tutorial on surrogate gradient learning in Spiking Neural Networks (https://github.com/fzenke/spytorch).

Speech commands data set

To run the speech_commands notebook:

• Download training data at http://download.tensorflow.org/data/speech_commands_v0.01.tar.gz and put them in a folder "data/speech_commands/train"
• Download testing data at http://download.tensorflow.org/data/speech_commands_test_set_v0.01.tar.gz and put them in a folder "data/speech_commands/test"