Published February 14, 2022 | Version 1
Software Open

NMF Cross spectral factor analysis - Brain-wide electrical dynamics encode an appetitive socioemotional state

  • 1. Stanford

Contributors

Contact person:

Researcher:

  • 1. Duke

Description

This repository contains the code used to perform the analyses used in the paper "Brain-wide electrical dynamics encode an appetitive socioemotional state". This was implemented in Tensorflow 1.0, which is outdated and largely obselete. These models have been reimplmented in Tensorflow 2.0 and can be found at Austin Talbot's github account at  https://github.com/austinTalbot7241993. The code itself is included as the files utils.py, norm_base.py, norm_encoded.py, and norm_supervised.py. 

To ensure reproducibility of our research we have also included the learned model saved according to tensorflow 1.0 specifications. These are the Default* files. For greater details on how to project new data using this model, direct questions to Austin Talbot.

Further questions can be addressed to 

Austin Talbot: austin [dot] talbot [at] gmail [dot] com

David Carlson: david [dot] carlson [at] duke [dot] edu

Kafui Dzirasa: kafui [dot] dzirasa [at] duke [dot] edu

 

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