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It has been demonstrated, that spike-timing-dependent plasticity (STDP) learning rule can be applied to train neuron to become selective to a spatiotemporal spike pattern. In this paper, we propose a model of neural network that is capable of memorizing prolonged sequences of different spike patterns and learn aggregated data in a larger temporal window.

NEURAL PROCESSING OF LONG LASTING SEQUENCES OF TEMPORAL CODES - Model of Artificial Neural Network based on a Spike Timing-dependant Learning Rule