
Last chance! 50% off unlimited learning
Sale ends in
Applies a network filtering methodology to neural network array.
Removes edges from the neural network output from convertConnBrainMat
using a network filtering approach
neuralnetfilter(neuralarray, method = c("TMFG", "MaST", "ECOplusMaST",
"ECO", "threshold"), progBar = TRUE, ...)
Array from convertConnBrainMat
function
Filtering method to be applied
Should progress bar be displayed? Defaults to TRUE. Set FALSE for no progress bar
Additional arguments from filtering methods
Returns an array of n x n x m filtered matrices
# NOT RUN {
neuralarray <- convertConnBrainMat()
filteredneuralarray <- neuralnetfilter(neuralarray, method = "threshold", thresh = .50)
dependencyarray <- depna(neuralarray)
filtereddependencyarray <- neuralnetfilter(dependencyarray, method = "TMFG", depend = TRUE)
# }
# NOT RUN {
# }
Run the code above in your browser using DataLab