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• W2218369717 abstract "Spiking Neural Networks encode information inside the characteristics of the spike trains they generate. There are several approaches to how this information can be coded. This paper presents coding by using spatial-temporal spike sequences. This approach is more complex compared to traditional coding schemes (rate code or phase code) but offers substantial increase in capacity due to a higher dimensionality of the representation. The paper proposes a method useful for storing spatial-temporal spike sequences with neural networks and also presents a quantitative evaluation of the network performance." @default.
• W2218369717 created "2016-06-24" @default.
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• W2218369717 date "2009-07-23" @default.
• W2218369717 modified "2023-09-24" @default.
• W2218369717 title "Storing information with spiking neural networks" @default.
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