Synchronization and spatial patterns in a light-dependent neural network | |
Liu, Yong1; Xu, Ying2; Ma, Jun2,3 | |
2020-10 | |
发表期刊 | Communications in Nonlinear Science and Numerical Simulation |
ISSN | 10075704 |
卷号 | 89 |
摘要 | Nonlinear oscillators and networks can be synchronized by channel coupling for signal exchange, while non-coupling synchronization between chaotic oscillators can be obtained by applying the same stochastic disturbance for inducing resonance. For most of realistic dynamical systems, physical energy and biophysical energy are pumped along the coupling channels and then the variables are regulated to present different modes in oscillation. In this paper, a new photosensitive neuron is proposed to detect the dynamics in isolated neuron and synchronization stability by changing the illumination, which can adjust the photocurrent across the branch circuit, even no direct synapse coupling is applied. The generation of photocurrents with diversity is explained from physical viewpoint. Furthermore, the collective responses of these photosensitive neurons in network are detected by calculating the synchronization stability and pattern formation. It is found that the spatial patterns in the network are dependent on the illumination. Uniform illumination can induce complete synchronization while non-uniform illumination can develop rich spatial patterns. Furthermore, uniform and stochastic photocurrents are imposed on all neurons to realize complete synchronization even synapse connection are removed from the network. These results can give potential guidance for designing functional neural circuits with potential application to identify optical signals as electronic eyes. © 2020 |
关键词 | Circuit oscillations Dynamical systems Inertial confinement fusion Light sensitive materials Neural networks Neurons Photocurrents Photosensitivity Stochastic systems Chaotic oscillators Complete synchronization Non-linear oscillators Non-uniform illumination Stochastic disturbances Synapse connections Synchronization stability Uniform illumination |
DOI | 10.1016/j.cnsns.2020.105297 |
收录类别 | EI ; SCIE |
语种 | 英语 |
WOS研究方向 | Mathematics ; Mechanics ; Physics |
WOS类目 | Mathematics, Applied ; Mathematics, Interdisciplinary Applications ; Mechanics ; Physics, Fluids & Plasmas ; Physics, Mathematical |
WOS记录号 | WOS:000541381800014 |
出版者 | Elsevier B.V., Netherlands |
EI入藏号 | 20202008665754 |
EI主题词 | Synchronization |
EI分类号 | 461.9 Biology - 703.1 Electric Networks - 741.1 Light/Optics - 932.2.1 Fission and Fusion Reactions - 961 Systems Science |
来源库 | Compendex |
分类代码 | 461.9 Biology - 703.1 Electric Networks - 741.1 Light/Optics - 932.2.1 Fission and Fusion Reactions - 961 Systems Science |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/115678 |
专题 | 理学院 |
通讯作者 | Ma, Jun |
作者单位 | 1.Yancheng Teachers Univ, Sch Math & Stat, Yancheng 224002, Peoples R China; 2.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China; 3.Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 430065, Peoples R China |
通讯作者单位 | 理学院 |
推荐引用方式 GB/T 7714 | Liu, Yong,Xu, Ying,Ma, Jun. Synchronization and spatial patterns in a light-dependent neural network[J]. Communications in Nonlinear Science and Numerical Simulation,2020,89. |
APA | Liu, Yong,Xu, Ying,&Ma, Jun.(2020).Synchronization and spatial patterns in a light-dependent neural network.Communications in Nonlinear Science and Numerical Simulation,89. |
MLA | Liu, Yong,et al."Synchronization and spatial patterns in a light-dependent neural network".Communications in Nonlinear Science and Numerical Simulation 89(2020). |
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