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populationtracking's Introduction

This code is associated with the paper from O'Donnell et al., "Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders". eLife, 2017. http://dx.doi.org/10.7554/eLife.26724

PopulationTracking

MATLAB code for implementing the Population Tracking neural data analysis method.

The model is explained in this paper: http://biorxiv.org/content/early/2016/07/19/064717

No setup required. The following function files are included:

fitPopTrack : fit the parameters of the Population Tracking model to binary neural population data.

samplePopTrack: generate samples from the fitted model, given the parameters.

compute_ak: calculate the set of normalization constants, needed for exact pattern probabilities.

compute_px: calculate the predicted probability of a specific neural activity pattern, given the model parameters.

See the help functions of each file for more details.

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