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

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Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N;

(2012)

Publisher: World Scientific Publishing

Related identifiers: doi: 10.1142/S0129065712500128, doi: 10.5167/uzh-75343
Subject: Institute of Neuroinformatics | 570 Life sciences; biology
arxiv: Quantitative Biology::Neurons and Cognition

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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