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Реализация и исследование классификатора пространственно-Ð²Ñ€ÐµÐ¼ÐµÐ½Ð½Ñ‹Ñ Ð¿Ð°Ñ‚Ñ‚ÐµÑ€Ð½Ð¾Ð² с использованием сегментной спайковой модели нейрона

The purpose of this work is to implement and study the classifier of spatiotemporal patterns using a compartmental spiking neuron model. The paper considers existing methods for solving the problem of classifying spatiotemporal patterns, highlights the advantages of a classifier using a compartmental spiking neuron model.
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