Training spiking neural networks to associate spatio-temporal input-output spike patterns

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Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N;
(2013)
  • Publisher: Elsevier
  • Related identifiers: doi: 10.5167/uzh-75344, doi: 10.1016/j.neucom.2012.08.034
  • Subject: Institute of Neuroinformatics | 570 Life sciences; biology
    acm: ComputerSystemsOrganization_PROCESSORARCHITECTURES
    arxiv: Quantitative Biology::Neurons and Cognition | Computer Science::Emerging Technologies

In a previous work (Mohemmed et al., Method for training a spiking neuron to associate input–output spike trains) [1] we have proposed a supervised learning algorithm based on temporal coding to train a spiking neuron to associate input spatiotemporal spike patterns to ... View more
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