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Increasing the number of decision boundaries (hyperplanes) of the classifier allowed to make finer and more accurate estimations of functional network patterns. A, Adding hyperplanes in classifying with the optimal FSD sensor triplet (#34,457; see Table 1) from all cells improved classification success from 88 to 95%. B, Hyperplane weights indicate the importance of each hyperplane in the estimation. C, Mean and SD of sensor weights for hyperplanes 1, 2, and 3.
