Spiking Neural Network Inter-Spike Time Based Decoding Scheme(Neural Networks and Fuzzy Systems, <Special Section>Recent Advances in Circuits and Systems)

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概要

• 論文の詳細を見る

• Information transmission among biological neurons is carried out by a complex series of spike signals. The input inter-spike arrival times at a neuron are believed to carry information which the neurons utilize to carry out a task. In this paper, a new scheme which utilizes the input inter-spike intervals (ISI) for decoding an input spike train is proposed. A spike train consists of a sequence on input spikes with various inter-spike times. This decoding scheme can also be used for neurons which have multiple synaptic inputs but for which each synapse receives a single spike within one input time window. The ISI decoding neural network requires only a few neurons. Example applications show the usefulness of the decoding scheme.

• 社団法人電子情報通信学会の論文
• 2005-08-01

著者

• Fujii Robert

  Computer Engineering Dept. Aizu University

• AMIN Hesham

  Computer Engineering Dept., Aizu University

• Amin Hesham

  Computer Engineering Dept. Aizu University

関連論文

• Spiking Neural Network Inter-Spike Time Based Decoding Scheme(Neural Networks and Fuzzy Systems, Recent Advances in Circuits and Systems)

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