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2006 | 16 | 1 | 101-113
Tytuł artykułu

Comparison of supervised learning methods for spike time coding in spiking neural networks

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this review we focus our attention on supervised learning methods for spike time coding in Spiking Neural Networks (SNNs). This study is motivated by recent experimental results regarding information coding in biological neural systems, which suggest that precise timing of individual spikes may be essential for efficient computation in the brain. We are concerned with the fundamental question: What paradigms of neural temporal coding can be implemented with the recent learning methods? In order to answer this question, we discuss various approaches to the learning task considered. We shortly describe the particular learning algorithms and report the results of experiments. Finally, we discuss the properties, assumptions and limitations of each method. We complete this review with a comprehensive list of pointers to the literature.
Rocznik
Tom
16
Numer
1
Strony
101-113
Opis fizyczny
Daty
wydano
2006
otrzymano
2005-10-17
poprawiono
2006-03-02
Twórcy
  • Institute of Control and Information Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland
  • Institute of Control and Information Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv16i1p101bwm
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