Simple Framework for Constructing Functional Spiking Recurrent Neural Networks

Contributors:
  1. Yinghao Li
  2. Terrence J. Sejnowski

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Data

License: CC-By Attribution 4.0 International

Wiki

This repository contains all the trained models (as zipped files) used for the following paper: Kim R., Li Y., & Sejnowski TJ. Simple Framework for Constructing Functional Spiking Recurrent Neural Networks. Preprint at BioRxiv https://www.biorxiv.org/content/10.1101/579706v2 (2019). The code to train networks is also available here: https://github.com/rkim35/spikeRNN

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.