spike neural network

Побудова заданої послідовності імпульсів на основі багатовходового спайк-нейрона

The problem of construction of idealizing sequence of spikes as the weighted sum of input sequences of spikes, which is important for learning procedure of spike neural network on the basis of methods of linear algebra with the use of idealizing impulses with a zero duration and single amplitude and conception of space of sequences of spikes is considered. For determination of weight coefficients a least squares method is used. Resultant spike sequence is formed with the use of fuzzy numbers. Two examples of approximation of the sequence of spikes are demonstrated.