AUTO ASSOCIATIVE SPATIAL-TEMPORAL PATTERN MEMORY BASED ON STOCHASTIC SPIKING NEURONS

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外文摘要：Autoassociative spatial-temporal memory based on spiking neurons is considered. The memory consists of extended SRMO 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.

作者：

SINYAVSKIY, O. Y

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会议名称：

International DAAAM Symposium on Intelligent Manufacturing & Automation : Focus on Interdisciplinary Solutions;European DAAAM International Young Researches and Scientists Conference

会议地点：

Zadar(HR);Zadar(HR)

会议母体文献：

Annals of DAAM for 2010 & proceedings of the 21st International DAAAM Symposium on Intelligent Manufacturing & Automation : Focus on Interdisciplinary Solutions

页码：

p.121-122

出版时间：

2010

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