Autoassociative spatial-temporal pattern memory based on stochastic spiking neurons

Autoassociative spatial-temporal memory based on spiking neurons is considered. The memory consists of extended SRM0 neurons connected in a network in all-to-all fashion. It is shown that this network is capable to store spiking patterns and recall them having incomplete patterns on it inputs. Key w...

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Bibliographic Details
Published inAnnals of DAAAM & proceedings p. 121
Main Author Sinyavskiy, Oleg Y
Format Journal Article
LanguageEnglish
Published DAAAM International Vienna 01.01.2010
Subjects
Analysis
Neural circuitry
Neurons
United States
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Summary:Autoassociative spatial-temporal memory based on spiking neurons is considered. The memory consists of extended SRM0 neurons connected in a network in all-to-all fashion. It is shown that this network is capable to store spiking patterns and recall them having incomplete patterns on it inputs. Key words: Spiking neural networks, spatial-temporal pattern memory
ISSN:1726-9679
1726-9679