文件名称:
Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains
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文件大小: 484kb
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上传时间: 2021-02-22
详细说明：Spiking neural networks are shown to be suitable tools for the processing of spatio-temporal information. However, due to their intricately discontinuous and implicit nonlinear mechanisms, the formulation of efficient supervised learning algorithms for spiking neural networks is difficult, which has become an important problem in the research area. This paper presents a new supervised, multi-spike learning algorithm for spiking neurons, which can implement the complex spatio-temporal pattern lea
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