Correction: EEG-based classification of alzheimer’s disease and frontotemporal dementia using functional connectivity

In the Methods section, under the subheading 'Information domain metrics' , "When modeling X and Y as stochastic variables, their entropy H (X) and conditional entropy H (X?Y ) can be determined.Their mutual information is then defined asnow reads: "When modeling X and Y as stochastic variables, their entropy H (X) and conditional entropy H (X|Y ) can be determined.Their mutual information is then defined asUnder the subheading 'Ensemble diversity' , "Normalized disagreement for a pair of classifiers i and j is calculated as)with N the number of predictions, ?i = ?j the number of predictions that are different between the classifiers, and Accuracy i,j the accuracy of their ensemble." now reads:"Normalized disagreement for a pair of classifiers i and j is calculated as)with N the number of predictions, i = j the number of predictions that are different between the classifiers, and Accuracy i,j the accuracy of their ensemble.