New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Implement Salaj et al: spike-frequency adaptation for LSNN #40

Open

Jegp opened this issue May 15, 2020 · 1 comment

Labels

Member

Jegp commented May 15, 2020

The paper by D. Salaj (https://www.biorxiv.org/content/10.1101/2020.05.11.081513v1.full.pdf) implements spike-frequency adaptation and gets good results for interesting tasks. It would be interesting to implement this and explore if we can achieve same results.

Jegp added the enhancement label

Member

cpehle commented Jun 5, 2020

This repository https://github.com/dsalaj/GoogleSpeechCommandsRNN, contains a reference implementation in TensorFlow.

Jegp mentioned this issue

Task memory #86

Merged

Jegp mentioned this issue

In the cifar10 image task, the given demo does not decrease the error during training #140

Closed

Jegp mentioned this issue

Explanation of lsnn_step and lif_step #190

Closed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment