主要学术论文
[1] 徐子恒，何玉珠，康艳梅. 基于随机放电神经元网络的彩色图像感知研究. 物理学报 71(2022) 070501
[2] Yanmei Kang, Yuxuan Fu and Yaqian Chen. Signal-to-noise gain of an adaptive neuron model with Gamma renewal synaptic input. Acta Mechanica Sinica 38(2022) 521347
[3] Muhammad Bilal Ghori, Yanmei Kang and Yaqian Chen. Emergence of stochastic resonance in a two-compartment hippocampal pyramidal neuron model. Journal of Computational Neuroscience 50(2022) 217-240
[4] Yuzhu He, Yuxuan Fu, Zijian Qiao, Yanmei Kang. Chaotic resonance in a fractional-order oscillator system with application to mechanical fault diagnosis. Chaos, Solitons and Fractals 142 (2021) 110536
[5] Kang Yanmei, Liu Ruonan, Mao Xuerong. Aperiodic stochastic resonance in neural processing with colored Gaussian noise. Cognitive Neurodynamics, Cognitive Neurodynamics (2021) 15:517–532
[6]Yamin Ding, Yuxuan Fu, and Yanmei Kang. Stochastic analysis of COVID-19 by a SEIR model with Lévy noise. Chaos 31, 043132 (2021)
[7] Fengyin Gao, Yanmei Kang. Positive role of fractional Gaussian noise in FitzHugh–Nagumo neuron model. Chaos, Solitons & Fractals Volume 146, May 2021, 110914
[8] Yuxuan Fu, Yanmei Kang and Ruonan Liu. Novel bearing fault diagnosis algorithm based on the method of moments for stochastic resonant systems. IEEE Transactions on Instrumentation & Measurement Vol 70 Art 6500610, 2021 DOI: 10.1109//TIM.2020.3017857
[9] Kang Yanmei, Liu Ruonan. Moment dynamics for gene regulation with rational rate laws. Physical Review E 102, 042407,2020
[10] Yaqian Chen, Junsong Wang, Yanmei Kang, and Muhammad Bilal Ghori. Emergence of Beta Oscillations in a Resonance Model for Parkinson’s Disease. Neural Plasticity Vol 2020, Art ID 8824760, 15 page
[11] Ruonan Liu, Yanmei Kang. Stochastic master equation for early protein aggregation in the transthytin amyloid disease. Scientific Reports Vol. 10, Article number: 12437(2020) https://doaj.org/article/fdada9857a73460eb14fb984d9f8549b 本文被PNAS 2022 Vol. 119 No. 4 e2109750119引用
[12] Yuxuan Fu, Yanmei Kang, Guanrong Chen. Stochastic resonance based visual perception using spiking neural networks. Frontier in Computational Neuroscience Vol 14, Art 24, 2020. DOI: 10.3399//fncom.2020.00024 本文入选 Frontier in Computational Neuroscience 2021 Editors' Pciks
[13] Yanmei Kang, Yaqian Chen, Yuxuan Fu, Zuolei Wang, Guanrong Chen. Formation of Spiral Wave in Hodgkin-Huxley Neuron Networks with Gamma-distributed Synaptic Input, Communications in Nonlinear Science and Numerical Simulation, 83 (2020) 105112.
[14] Shuo Ma, Yanmei Kang. An averaging prociple for stochastic switched systems with Levy noise. Mathematical Methods in the Applied Sciences. June 2020, DoI: 10.1002/mma.6538
[15] Ruonan Liu, Yanmei Kang, Yuxuan Fu, Guanrong Chen. Stochastic resonance and bifurcation of order parameter in a coupled system of underdamped Duffing oscillators. International Journal of Bifurcation and Chaos, 29 (2019) 1950108.
[16] Liu GK, Kang YM, Quan HD et al. The detection performance of the dual-sequence-hopping signal via stochastic resonance processing under colored noise. Radioengineering 28(3): 618-625(2019)
[17] Ma Shuo, Kang Yanmei,Periodic averaging method for impulsive stochastic differential equations with Levy noise. Applied Mathematics Letters, 93, 91097(2019)
[18] Shuo Ma, Yanmei Kang. Finite time synchronization of stochastic Markovian jumping genetic oscillator networks with time-varying delay and Levy noise. Advances in Difference Equations, 2019 (2019) 352.
[19] 刘广凯, 全厚德, 康艳梅, 孙慧贤, 崔佩璋, 韩月明一种随机共振增强正弦信号的二次多项式接收方法. 物理学报. 2019, 68 (21): 210501
[20] Shuo Ma, Yanmei Kang. Exponential synchronization of memristor-based delayed neutral-type neural networks with Levy noise via impulsive control. European Physical Journal Special Topics, 228 (2019) 2157-2170.
[21] Xi Chen, Xiujun Cheng, Yanmei Kang, Jinqiao Duan.Target search of a protein on DNA in the presence of position-dependent bias. Journal OF Statistical Mechanics 2019, 033501 (2019).
[22] Feng-Yin Gao, Yan-Mei Kang, Xi Chen, Guanrong Chen, Fractional Gaussian noise enhanced information capacity of a nonlinear neuron model with binary input, Physical Review E 97, 052142, Published may 29, 2018.
[23] Ruo-Nan Liu, Yan-Mei Kang, Observing Stochastic Resonance in Periodic Potential Systems Driven by Alpha Stable Lévy Noise. Physics Letter A 382(25): 1656-1664, Published June 26, 2018.
[24] Yuxuan Fu, Yanmei Kang, Yong Xie. Subcritical Hopf Bifurcation and Stochastic Resonance of Electrical Activities in Neuron under Electromagnetic Induction. Front. Comput. Neurosci., 06 February 2018 https://doi.org/10.3389/fncom.2018.00006
[25] C Chen, C Li and Y Kang. Modelling the effects of cutting off infected branches and replanting on fire-blight transmission using Filippov systems. Journal of theoretical biology 439, 127-140(2018)
[26] C Chen, Y Kang, R Simit? Sliding motion and global dynamics of a Filippov fire-blight model with economic thresholds. Nonlinear Analysis: Real World Applications 39, 492-519 (2018)
[27] Shuo Ma, Yan-Mei Kang, Exponential Synchronization of Delayed Neutral-Type Neural Networks with Levy noise under Non-Lipschitz Condition. Communications in Nonlinear Science and Numerical Simulation 57, 372-387(2018)
[28] Xi Chen, Yan-Mei Kang, Switches in a genetic regulatory system under multiplicative non-Gaussian noise. Journal of theoretical biology 435: 134-144 (2017)
[29] Kang Y. M, Chen X. Lin X.D. Tan N. Mean First Passage Time and Stochastic Resonance in a Transcriptional Regulatory System with Non-Gaussian Noise. Fluctuation & Noise Letters (2017) , 16 (01), art. no. 175007[17 pages]
[30] Chen C, Kang Y. M. Dynamics of a stochastic multi-strain SIS epidemic model driven by Lévy noise. Communications in Nonlinear Science and Numerical Simulation 2017, 42:379-395. DOI: 10.1016/j.cnsns.2016.06.012
[31] Chen X., Kang Y. M. Application of Gaussian moment method to a gene autoregulation model of rational vector field. Mod. Phys. Lett. B 30, 1650264 (2016) [10 pages]
[32] Chen Z. Y., Kang Y. M. The first passage time density of Ornstein–Uhlenbeck process with continuous and impulsive excitations. Chaos, Solitons & Fractals 2016 91: 214-220 http://dx.doi.org/10.1016/j.chaos.2016.05.018
[33] Kang Y. M. Simulating Transient dynamics of the time-dependent time fractional Fokker-Planck systems. Phys. Lett. A 2016, 380: 3160-3166 DOI: 10.1016/j.physleta.2016.07.049
[34] Chen C, Kang Y. M. The asymptotic behaviour of a stochastic vaccination model with backward bifurcation. Applied Mathematical Modelling 2016, 40(11-12): 6051-6058
[35] Kang Y. M., Xie Y. , Lu J. C. Jiang J. On the nonexistence of non-constant exact periodic solutions in a class of Caputo fractional-order dynamical systems. Nonlinear Dynamics 82(3), 259–1267 (2015)
[36] Kang Y M, Jiang Y L and Xie Y. Linear response characteristics of time-dependent time fractional Fokker-Planck equation systems. J. Phys. A: Math. Theor.47,455055(2014)
[37] Xie Y, Kang Y M, Liu Y, Wu Y. Firing properties and synchronization rate in fractional-order Hindmarsh-Rose model neurons. Science China Technological Science 57(5), 917(2014)
[38] Chen C, Kang Y M. Dynamics of a Stochastic SIS Epidemic Model with Saturated Incidence. Abstract and Applied Analysis, 2014, 723825(2014).
[39] Zhang Z R, Kang Y M et al. Stochastic resonance in a simple threshold sensor systems with alpha stable noise. Commun. Theor. Phys. 61, 578(2014)
[40] Shao Y G, Kang Y M. Effect of spatially correlated noise on stochastic synchronization in globally coupled FitzHugh-Nagumo neuron systems. Theor. & Appl. Mech. Lett.4, 013006(2014)
[41] Kang Y M et al. Effect of spatial correlation on stochastic resonance in two linearly interacting noisy bistable oscillators. J. Stat Mech. P10029(2012)
[42] Kang Y M, Wang M et al. Stochastic resonance in coupled weakly-damped bistable oscillators subjected to additive and multiplicative noise. Acta Mech. Sin. 28(2),05 (2012)
[43] Durrant S, Kang Y. M., Stocks N. and Feng J. F. Suprathreshold stochastic resonance in neural processing tuned by correlation. Phys. Rev. E 84, 011923(2011)
[44] Kang Y M. Coherence resonance in subdiffusive fractional Klein-Kramers periodic potential systems without a bifurcation precusor. EPL(Europhys. Lett.) 94, 60005(2011)
[45] Kang Y M, Jiang J, Xie Y. Observing fluctuating spectral density of subdiffusive overdampoed Brownian particles in periodic potentials. J. Phys. A: 44, 035002(2011)
[46] 张广丽，吕希路，康艳梅. Alpha稳定噪声环境下过阻尼系统中的参数诱导随机共振现象. 物理学报 2012(4), 1-8
[47] 徐超，康艳梅. 非高斯噪声激励下含周期信号FitzHugh-Nagumo系统的响应特征. 物理学报 2011(10),742-749
[48] Li Y. J., Kang Y. M. A study on stochastic resonance in biased subdiffusive Smoluchowski systems within linear response range. Commun. Theor. Phys. 54, 292(2010)
[49] Kang Y M, Jiang Y L. Linear response charactersistics in time-dependent subdiffusive fractional Fokker-Planck equations. J. Math. Phys. 51, 023301(2010) 本文在被2010年Physical Review Letters 论文引用
[50] Kang Y M, Jiang Y L. Spectral density of fluctuations in fractional bistable Klein-Kramers systems. Phys. Rev. E 81,021109(2010)
[51] Xie Y, Chen L, Kang Y M and Aihara K. Controling the onset of Hopf bifurcation in the Hodgkin_Huxley model. Phys. Rev. E 77(6), 061921(2008)
[52] Xie Y, Chen L, Kang Y M. Changes in types of neural excitability via bifurcation control. Phys. Rev. E 77(2), 021917(2008)
[53] Kang Y M, Jiang Y L. A semi-analytic method for computing the long-time order parameter dynamics in mean-field coupled overdamped oscillators with colored noises. Phys. Lett. A 372(46),6826(2008)
[54] Kang Y M, Jiang Y L. Long-time dynamic response and stochastic resonance of subdiffusive overdamped bistable fractional Fokker-Planck systems. Chin. Phys. Lett. 25(10), 3578(2008)
[55] Kang Y M, Xie Y, Xu J X. Observing nonlinear stochastic resonance with piecewise constant forces by the method of moments. Chaos Solitons & Fractals 27(3), 715(2006)
[56] Kang Y M, Xu J X and Xie Y. Signal-to-noise ratio gain of a noisy neuron that transmits subthreshold periodic spike strains. Phys. Rev. E 72(2), 021902(2005)
[57] Kang Y M, Xu J X, Jin W Y. Aperiodic stochastic resonance and stochastic synchronization of uni-directionally coupled optical ssytems. Int. J. Nonlinear Science and Numerical Simulation 6,19(2005)
[58] 康艳梅; 徐健学; 谢勇. 双稳杜芬振子的随机共振及其动力学机制. 力学学报, 36 (2) : 247-253 （2004）
[59] Kang Y M, Xu J X and Xie Y. Observing stochastic resonance in an underdapmed bistable Duffing oscillator by the method of moments. Phys. Rev. E 68(3), 036123(2003)
[60] 康艳梅, 徐健学,谢勇. 单模光学系统的非线性弛豫速率和随机共振. 物理学报 52(11), 2712(2003)
[61] 康艳梅，徐健学，谢勇. 弱噪声极限下二维布朗运动的随机共振现象. 物理学报 52(4), 802(2003)
