Firing patterns in delayed feedforward networks with STDP rules

Yanqiu Che, Ying Mei Qin, Jia Zhao, Chun Xiao Han

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

Abstract

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
Pages2006-2010
Number of pages5
ISBN (Electronic)9789881563934
DOIs
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

Other

Other36th Chinese Control Conference, CCC 2017
CountryChina
CityDalian
Period7/26/177/28/17

Fingerprint

Feedforward Networks
Spike
Plasticity
Timing
Dependent
Coding
Network Model
Tend

All Science Journal Classification (ASJC) codes

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

Cite this

Che, Y., Qin, Y. M., Zhao, J., & Han, C. X. (2017). Firing patterns in delayed feedforward networks with STDP rules. In T. Liu, & Q. Zhao (Eds.), Proceedings of the 36th Chinese Control Conference, CCC 2017 (pp. 2006-2010). [8027648] (Chinese Control Conference, CCC). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2017.8027648
Che, Yanqiu ; Qin, Ying Mei ; Zhao, Jia ; Han, Chun Xiao. / Firing patterns in delayed feedforward networks with STDP rules. Proceedings of the 36th Chinese Control Conference, CCC 2017. editor / Tao Liu ; Qianchuan Zhao. IEEE Computer Society, 2017. pp. 2006-2010 (Chinese Control Conference, CCC).
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abstract = "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.",
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Che, Y, Qin, YM, Zhao, J & Han, CX 2017, Firing patterns in delayed feedforward networks with STDP rules. in T Liu & Q Zhao (eds), Proceedings of the 36th Chinese Control Conference, CCC 2017., 8027648, Chinese Control Conference, CCC, IEEE Computer Society, pp. 2006-2010, 36th Chinese Control Conference, CCC 2017, Dalian, China, 7/26/17. https://doi.org/10.23919/ChiCC.2017.8027648

Firing patterns in delayed feedforward networks with STDP rules. / Che, Yanqiu; Qin, Ying Mei; Zhao, Jia; Han, Chun Xiao.

Proceedings of the 36th Chinese Control Conference, CCC 2017. ed. / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. p. 2006-2010 8027648 (Chinese Control Conference, CCC).

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

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AB - 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.

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Che Y, Qin YM, Zhao J, Han CX. Firing patterns in delayed feedforward networks with STDP rules. In Liu T, Zhao Q, editors, Proceedings of the 36th Chinese Control Conference, CCC 2017. IEEE Computer Society. 2017. p. 2006-2010. 8027648. (Chinese Control Conference, CCC). https://doi.org/10.23919/ChiCC.2017.8027648