METHOD FOR CLASSIFYING A TEMPORAL SERIES OF EVENTS BY MEANS OF A NETWORK CONTAINING PULSED NEURONES

摘要

The invention relates to a method for classifying a temporal series of input variables by means of a neuronal network containing pulsed neurones. Oscillating neurones are used as pulsed neurones, and the mutual information between the stimulus category of the input variables and the pulse behaviour (= cost function) of the neurones is determined on the basis of a differential value.