1. A method for classifying at least one state of a subject, comprising: receiving physiological data for the subject, the physiological data including a plurality of features having at least a first feature and a second feature that are based on a respective measure of a synchronization for at least one pair of channels, wherein the synchronization associated with (i) the first feature is over a first time period; and (ii) the second feature is over a second time period; generating an array of the features having the first and second features as entries in the array; generating a multilayer convolutional neural network, wherein a first layer and a second layer of the multilayer convolutional neural network is based on a convolution across time, and a third layer of the multilayer convolutional neural network is based on a convolution across time, space and frequency; and using a computer hardware arrangement, classifying the at least one state based on information provided in the array using the at least one multilayer convolutional neural network.