This package contains MatLab functions for training and inference of the Ratio of Gaussians (RoG) model. An example file is provided to illustrate how to generate synthetic RoG data, fit, and perform inference of the latent normalization signal.

The package is available from the webpage: https://github.com/rubencoencagli/RoG

The associated paper is: Coen-Cagli, R. and Solomon, S.S.. "Relating divisive normalization to neuronal response variability." Journal of Neuroscience 39(37):7344, 2019.

HOW TO GET STARTED:

• example.m This file illustrates how to generate synthetic RoG data, estimate model parameters, and perform inference of the latent normalization signal.

Comments/Suggestions/Bugs to: Ruben Coen-Cagli ruben.coencagli@gmail.com

Copyright (c) 2020, Ruben Coen Cagli. All rights reserved. See the file LICENSE for licensing information. See the file CONDITIONS for conditions of use.