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Effects of temporally correlated noise on coherence resonance chimeras in FitzHugh-Nagumo neurons

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成果类型:
期刊论文
作者:
Xu, Ying;Lu, Lulu;Ge, Mengyan;Jia, Ya*贾亚
通讯作者:
Jia, Ya(贾亚
作者机构:
[Jia, Ya; Lu, Lulu; Ge, Mengyan; Xu, Ying] Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Jia, Ya] C
Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Statistical and Nonlinear Physics
期刊:
EUROPEAN PHYSICAL JOURNAL B
ISSN:
1434-6028
年:
2019
卷:
92
期:
11
页码:
245-null
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11775091]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
Chimera state in neuronal network means the coexistence of coherent and incoherent firing patterns. In this paper, the FitzHugh-Nagumo (FHN) neuronal model is employed to investigate the coherent resonance chimeras induced by temporally correlated noises. We show that the oscillation state of neuronal system is influenced by the correlation time of noise, the reduction of correlation time can result in a smaller amplitude noise sufficient to maximize the coherent resonance. However, the coherent resonance chimeras can be observed by changing both noise intensity and correlation time in the non...

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