hippomaps.stats.contextualize2D

hippomaps.stats.contextualize2D(taskMaps, taskNames='', numerbMaps=False, n_topComparison=3, nperm=1000, plotTable=True, plot2D=True)

Compares the present maps to thoes in the inital HippoMaps release

Parameters:

  • taskMaps (a VxT matrix of intensities. T is the number of maps to examine) –

  • taskNames (list of T strings) –

  • n_topComparison (int, optional) – Top N features for which to reurn comparisons (Pearson’s R and p)

  • plot2D (bool) – Whether to plot the new maps in context of other maps

Returns:

  • topFeatures (Names of most similar intialized features)

  • topR (Correpsonding Pearson’s R values)

  • topP (Corresponding p values (spin test))

  • APcorr (Correlation with AP coordinates)

  • Subfscorr (Max correlation with subfields (Spearmann))

  • ax (axis handle)