<commit_before>covarianceconnectivity
======================

Simulation (and analysis) code for using covariance to estimate functional connectivity differences

When using these simulations in publications please cite:
Cole, Yang, Murray, Repovs, Anticevic, "Reconceptualizing brain network change as shared signal dynamics" [full citation forthcoming]

Contact: <NAME>, <EMAIL>, http://www.colelab.org


The code can be run in R, using the following commands:

source('CorrelationVsCovarianceSim.R')

source('CorrelationVsCovarianceSim_WithOtherMeasures.R')


Before running the code, be sure to have R installed (e.g., RStudio), and that you have the following R packages installed:
ggplot2, sapa, plyr, entropy, grid
<commit_msg>Readme update<commit_after>covarianceconnectivity
======================

Simulation (and analysis) code for using covariance to estimate functional connectivity differences

When using these simulations in publications please cite:
Cole, Yang, Murray, Repovs, Anticevic, "Reconceptualizing brain network change as shared signal dynamics" [full citation forthcoming]

Contact: <NAME>, <EMAIL>, http://www.colelab.org


The code can be run in R, using the following commands:

source('CorrelationVsCovarianceSim.R')

source('CorrelationVsCovarianceSim_WithOtherMeasures.R')


Before running the code, be sure to have R installed (e.g., RStudio), and that you have the following R packages installed:
ggplot2, sapa, plyr, entropy, grid


An alternate version of the simulation framework for MATLAB is also included:
CorrelationVsCovarianceSim_matlab.m

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