NetworkToolbox (version 1.1.1)

neuralnetfilter: Neural Network Filter

Description

Applies a network filtering methodology to neural network array. Removes edges from the neural network output from convertConnBrainMat using a network filtering approach

Usage

neuralnetfilter(neuralarray, method = c("TMFG", "MaST", "ECOplusMaST", "ECO",
  "threshold"), progBar = TRUE, ...)

Arguments

neuralarray

Array from convertConnBrainMat function

method

Filtering method to be applied

progBar

Should progress bar be displayed? Defaults to TRUE. Set FALSE for no progress bar

...

Additional arguments from filtering methods

Value

Returns an array of n x n x m filtered matrices

References

Fallani, F. D. V., Latora, V., & Chavez, M. (2017). A topological criterion for filtering information in complex brain networks. PLoS Computational Biology, 13(1), e1005305.

Massara, G. P., Di Matteo, T., & Aste, T. (2016). Network filtering for big data: Triangulated maximally filtered graph. Journal of Complex Networks, 5(2), 161-178.

Examples

# NOT RUN {
neuralarray <- convertConnBrainMat()

filteredneuralarray <- neuralnetfilter(neuralarray, method = "threshold", thresh = .50)

dependencyarray <- depna(neuralarray)

filtereddependencyarray <- neuralnetfilter(dependencyarray, method = "TMFG", depend = TRUE)
# }