Firing patterns in delayed feedforward networks with STDP rules

Yan Qiu Che, Ying Mei Qin, Jia Zhao, Chun Xiao Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


We investigate the evolution of a delayed feedforward network model with plasticity. It is found that desynchronized and synchronized firing patterns both exist in the feedforward network (FFN) with different synaptic delays. Synaptic delays may play a significant role in bridging rate coding and time coding. Then we focus on the evolution of firing rate and synaptic weights in the FFN network based on the spike-timing dependent plasticity (STDP) rules. The firing rates can be reliably transmitted after the evolution based on STDP rules. The mean synaptic weights tend to be saturated after certain time of evolution. Furthermore, the firing information can be shifted by the changes of network connection and STDP rules through the FFN network.

Original languageEnglish (US)
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9789881563934
StatePublished - Sep 7 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: Jul 26 2017Jul 28 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927


Other36th Chinese Control Conference, CCC 2017

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation


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