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Inhibitory-autapse-enhanced signal transmission in neural networks  ( SCI-EXPANDED收录 EI收录)   被引量:51

文献类型:期刊文献

英文题名:Inhibitory-autapse-enhanced signal transmission in neural networks

作者:Yao, Chenggui[1];He, Zhiwei[1];Nakano, Tadashi[2];Qian, Yu[3];Shuai, Jianwei[4,5]

机构:[1]Shaoxing Univ, Dept Math, Shaoxing, Peoples R China;[2]Osaka Univ, Grad Sch Frontier Biosci, Osaka, Japan;[3]Baoji Univ Arts & Sci, Nonlinear Res Inst, Baoji 721007, Peoples R China;[4]Xiamen Univ, Dept Phys, Xiamen, Fujian, Peoples R China;[5]Xiamen Univ, Res Inst Biomimet & Soft Matter, Fujian Prov Key Lab Soft Funct Mat Res, Xiamen 361005, Fujian, Peoples R China

年份:2019

卷号:97

期号:2

起止页码:1425

外文期刊名:NONLINEAR DYNAMICS

收录:SCI-EXPANDED(收录号:WOS:000479263300033)、、EI(收录号:20192607112089)、Scopus(收录号:2-s2.0-85067886637)、WOS

基金:This work was supported partially by the National Natural Science Foundation of China under Grant Nos. 11675112, 11675134 and 11874310; and the 111 Project under Grant No. B16029.

语种:英文

外文关键词:Vibrational resonance; Signal transmission; Autapse; Chemical synapse; Electrical synapse

外文摘要:The multi-frequency hybrid signal is an important stimulus from the external environment on the neuronal networks for detection. The mechanism of the detection may be understood by the vibrational resonance, in which the moderate intensity of high-frequency force can amplify the response of neuronal systems to the low-frequency signal. In this paper, the effects of electrical and chemical autapses on signal transmission are investigated in scale-free and small-world neuronal networks, where an external two-frequency signal is introduced only to one neuron as a pacemaker. We observed that the inhibitory autapse can significantly enhance the signal propagation by the vibrational resonance, while the electrical and excitatory autapses typically weaken the signal transmission, indicating that the inhibitory autapse is more beneficial to transmit the rhythm of the pacemaker to the whole networks. These findings contribute to our understanding of signal detection and information processing in the autapic neuronal system.

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