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ESANN
2004

Input arrival-time-dependent decoding scheme for a spiking neural network

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Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their absolute arrival times is proposed. The output times, which are responses to different input patterns, can differentiate these input patterns uniquely. Features of Spiking Neural Networks (SNN) such as actual spike input time and synaptic weights are utilized. Only a limited number of neurons are needed to implement the decoding scheme.
Hesham H. Amin, Robert H. Fujii
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Hesham H. Amin, Robert H. Fujii
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