Skip to content
#

spiking-neural-networks

Here are 142 public repositories matching this topic...

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

  • Updated Mar 16, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the spiking-neural-networks topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the spiking-neural-networks topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.