@inproceedings{dd0f779563a3442fa37647b4e798fa4d,
title = "Firing patterns in delayed feedforward networks with STDP rules",
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.",
author = "Che, {Yan Qiu} and Qin, {Ying Mei} and Jia Zhao and Han, {Chun Xiao}",
note = "Funding Information: This work is supported by the National Natural Science Foundation of China (Grant Nos. 61401312) and The Natural Science Foundation of Tianjin, China (Grant No. 15JCYBJC1900010). We would also acknowledge the support of Tianjin University of Technology and Education (Grant No. KYQD14006, RC14-09, RC14-49 and RC14-59).; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8027648",
language = "English (US)",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2006--2010",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}