International Symposium on Neural Networks, ISNN 2017


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Title: A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity
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Authors: Guang Qiao
  • Harbin University of Science and Technology
  • Chinese Academy of Sciences, Institute of Automation
Hongyue Du
  • Harbin University of Science and Technology
Yi Zeng
  • Chinese Academy of Sciences, Institute of Automation
  • Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology
  • University of Chinese Academy of Sciences
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DBLP Key: conf/isnn/QiaoDZ17
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