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Ding D, Xiao H, Yang Z, Luo H, Hu Y, Zhang X, Liu Y. Coexisting multi-stability of Hopfield neural network based on coupled fractional-order locally active memristor and its application in image encryption. Nonlinear Dyn. [DOI: 10.1007/s11071-022-07371-0] [Reference Citation Analysis]
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Fang P, Sun H, Zou M, Peng H, Wang Y. Self-Synchronization and Vibration Isolation Theories in Anti-resonance System with Dual-Motor and Double-Frequency Actuation. J Vib Eng Technol . [DOI: 10.1007/s42417-021-00384-w] [Reference Citation Analysis]
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Biolek Z, Biolková V, Biolek D, Kolka Z. Modeling of the generic memcapacitors using higher-order multi-ports. Communications in Nonlinear Science and Numerical Simulation 2022;113:106497. [DOI: 10.1016/j.cnsns.2022.106497] [Reference Citation Analysis]
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Fossi JT, Deli V, Njitacke ZT, Mendimi JM, Kemwoue FF, Atangana J. Phase synchronization, extreme multistability and its control with selection of a desired pattern in hybrid coupled neurons via a memristive synapse. Nonlinear Dyn. [DOI: 10.1007/s11071-022-07489-1] [Reference Citation Analysis]
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Yang F, Ma J, An X. Mode selection and stability of attractors in Chua circuit driven by piezoelectric sources. Chaos, Solitons & Fractals 2022;162:112450. [DOI: 10.1016/j.chaos.2022.112450] [Reference Citation Analysis]
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Zhang L, An X, Zhang J, Shi Q, De Aguiar M. Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay. Complexity 2022;2022:1-19. [DOI: 10.1155/2022/7487477] [Reference Citation Analysis]
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Goulefack LM, Chamgoue AC, Anteneodo C, Yamapi R. Stability analysis of the Hindmarsh–Rose neuron under electromagnetic induction. Nonlinear Dyn. [DOI: 10.1007/s11071-022-07331-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Zhou P, Zhang X, Ma J. How to wake up the electric synapse coupling between neurons? Nonlinear Dyn. [DOI: 10.1007/s11071-022-07282-0] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
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Xie W, Wang C, Lin H. A fractional-order multistable locally active memristor and its chaotic system with transient transition, state jump. Nonlinear Dyn 2021;104:4523-41. [DOI: 10.1007/s11071-021-06476-2] [Cited by in Crossref: 24] [Cited by in F6Publishing: 15] [Article Influence: 24.0] [Reference Citation Analysis]
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Guo Y, Zhou P, Yao Z, Ma J. Biophysical mechanism of signal encoding in an auditory neuron. Nonlinear Dyn 2021;105:3603-14. [DOI: 10.1007/s11071-021-06770-z] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 14.0] [Reference Citation Analysis]
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Njitacke ZT, Awrejcewicz J, Ramakrishnan B, Rajagopal K, Kengne J. Hamiltonian energy computation and complex behavior of a small heterogeneous network of three neurons: circuit implementation. Nonlinear Dyn. [DOI: 10.1007/s11071-021-07109-4] [Reference Citation Analysis]
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Yao Y. Logical chaotic resonance in the FitzHugh–Nagumo neuron. Nonlinear Dyn. [DOI: 10.1007/s11071-021-07155-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Peng Y, He S, Sun K. Chaos in the discrete memristor-based system with fractional-order difference. Results in Physics 2021;24:104106. [DOI: 10.1016/j.rinp.2021.104106] [Cited by in Crossref: 34] [Cited by in F6Publishing: 20] [Article Influence: 34.0] [Reference Citation Analysis]
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Yao Z, Wang C. Collective behaviors in a multiple functional network with hybrid synapses. Physica A: Statistical Mechanics and its Applications 2022. [DOI: 10.1016/j.physa.2022.127981] [Reference Citation Analysis]
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Lin H, Wang C, Deng Q, Xu C, Deng Z, Zhou C. Review on chaotic dynamics of memristive neuron and neural network. Nonlinear Dyn 2021;106:959-73. [DOI: 10.1007/s11071-021-06853-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
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Zhang X, Ma J. Wave filtering and firing modes in a light-sensitive neural circuit. J Zhejiang Univ Sci A 2021;22:707-20. [DOI: 10.1631/jzus.a2100323] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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Yang H, Wang H, Guo L, Xu G. Dynamic responses of neurons in different states under magnetic field stimulation. J Comput Neurosci 2021. [PMID: 34532810 DOI: 10.1007/s10827-021-00796-3] [Reference Citation Analysis]
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Wang Z, Ramamoorthy R, Xi X, Namazi H. Synchronization of the neurons coupled with sequential developing electrical and chemical synapses. Math Biosci Eng 2022;19:1877-90. [PMID: 35135233 DOI: 10.3934/mbe.2022088] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
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Cao B, Gu H, Wang R. Complex dynamics of hair bundle of auditory nervous system (II): forced oscillations related to two cases of steady state. Cogn Neurodyn. [DOI: 10.1007/s11571-021-09745-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Cao B, Gu H, Ma K. Complex dynamics of hair bundle of auditory nervous system (I): spontaneous oscillations and two cases of steady states. Cogn Neurodyn. [DOI: 10.1007/s11571-021-09744-4] [Reference Citation Analysis]
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Mondal A, Upadhyay RK, Mondal A, Sharma SK. Emergence of Turing patterns and dynamic visualization in excitable neuron model. Applied Mathematics and Computation 2022;423:127010. [DOI: 10.1016/j.amc.2022.127010] [Reference Citation Analysis]
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Zhou P, Hu X, Zhu Z, Ma J. What is the most suitable Lyapunov function? Chaos, Solitons & Fractals 2021;150:111154. [DOI: 10.1016/j.chaos.2021.111154] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 13.0] [Reference Citation Analysis]
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Yu D, Wu Y, Ye Z, Xiao F, Jia Y. Inverse chaotic resonance in Hodgkin–Huxley neuronal system. Eur Phys J Spec Top . [DOI: 10.1140/epjs/s11734-022-00629-z] [Reference Citation Analysis]
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Baysal V, Yılmaz E. Chaotic Signal Induced Delay Decay in Hodgkin-Huxley Neuron. Applied Mathematics and Computation 2021;411:126540. [DOI: 10.1016/j.amc.2021.126540] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Huang P, Guo Y, Ren G, Ma J. Energy-induced resonance synchronization in neural circuits. Mod Phys Lett B 2021;35:2150433. [DOI: 10.1142/s0217984921504339] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Xie Y, Yao Z, Hu X, Ma J. Enhance sensitivity to illumination and synchronization in light-dependent neurons*. Chinese Phys B 2021;30:120510. [DOI: 10.1088/1674-1056/ac1fdc] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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Fossi JT, Deli V, Edima HC, Njitacke ZT, Kemwoue FF, Atangana J. Phase synchronization between two thermo-photoelectric neurons coupled through a Josephson Junction. Eur Phys J B 2022;95. [DOI: 10.1140/epjb/s10051-022-00324-x] [Reference Citation Analysis]
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Liu B, Ye X, Hu G. Design of a New 3D Chaotic System Producing Infinitely Many Coexisting Attractors and Its Application to Weak Signal Detection. Int J Bifurcation Chaos 2021;31:2150235. [DOI: 10.1142/s0218127421502357] [Reference Citation Analysis]
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