Main content

Pretrained energy efficient predictive coding networks

  0
Contributors:
  2. Nasir Ahmad
  4. Marcel van Gerven

Date created: 2021-11-16 11:29 AM | Last Updated: 2025-02-18 02:43 PM

Identifier: DOI 10.17605/OSF.IO/C57D4

Category: Project

Description: Pretrained models for 'Predictive coding is a consequence of energy efficiency in recurrent neural networks'.

License: CC-By Attribution 4.0 International

Wiki

Energy efficient predictive coding networks

Description

Supplementary material for 'Predictive coding is a consequence of energy efficiency in recurrent neural networks'

Dependencies

  1. Numpy
  2. Matplotlib
  3. PyTorch 1.5.0
  4. Python >= 3.7
  5. bootstrapped

Usage Notes:

If you want to train your own models you can run train_models.py to produce the model instances used in determining the model preactivations:

…

Files

Files can now be accessed and managed under the Files tab.

Citation

Tags

Energy efficiencyPredictionRNN

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

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.

Copyright © 2011-2025 Center for Open Science | Terms of Use | Privacy Policy | Status | API
TOP Guidelines | Reproducibility Project: Psychology | Reproducibility Project: Cancer Biology