SPAN: spike pattern association neuron for learning spatio-temporal sequences

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Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N;
(2012)

Spiking Neural Networks (SNN) were shown to be suitable tools for the processing of spatio-temporal information. However, due to their inherent complexity, the formulation of efficient supervised learning algorithms for SNN is difficult and remains an important problem ... View more
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