Returns the visited meta-states, registers different variables that account for the dynamism of functional connectivity and calculates the scaling exponents of neurons' connectivity degree power-law fitting. You need to download the directory that contains the ΔF matrices (these are the output of CaIman's detrend_df_f() function). The rows of these matrices represent the different neurons and columns the Ca2+ signals at every given temporal frame. You need to complete path="" with the path of the directory that contains the ΔF matrices and path_organizador="" should be filled with a directory to save the results.
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Returns the visited meta-states, register different variables that account for the dynamism of functional connectivity and calculates the scaling exponents of neurons' connectivity degree power-law fitting.
sofiapuvogelvittini/neuronal_functional_connectivity
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Returns the visited meta-states, register different variables that account for the dynamism of functional connectivity and calculates the scaling exponents of neurons' connectivity degree power-law fitting.
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