Mixed Stimulus-Induced Mode Selection in Neural Activity Driven by High and Low Frequency Current under Electromagnetic Radiation

被引:90
作者
Lu, Lulu [1 ,2 ]
Jia, Ya [1 ,2 ]
Liu, Wangheng [3 ]
Yang, Lijian [1 ,2 ]
机构
[1] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Hubei, Peoples R China
[2] Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China
[3] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
1ST-ORDER DIFFERENTIAL-EQUATIONS; COHERENCE RESONANCE; THEORETICAL-MODELS; NEURONAL NETWORKS; SPIKING; TRANSITIONS; PACEMAKER; DYNAMICS; PATTERNS; AUTAPSE;
D O I
10.1155/2017/7628537
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The electrical activities of neurons are dependent on the complex electrophysiological condition in neuronal system, the three-variable Hindmarsh-Rose (HR) neuron model is improved to describe the dynamical behaviors of neuronal activities with electromagnetic induction being considered, and the mode transition of electrical activities in neuron is detected when external electromagnetic radiation is imposed on the neuron. In this paper, different types of electrical stimulus impended with a high-low frequency current are imposed on new HR neuron model, and mixed stimulus-induced mode selection in neural activity is discussed in detail. It is found that mode selection of electrical activities stimulated by high-low frequency current, which also changes the excitability of neuron, can be triggered owing to adding the Gaussian white noise. Meanwhile, the mode selection of the neuron electrical activity is much dependent on the amplitude B of the high frequency current under the same noise intensity, and the high frequency response is selected preferentially by applying appropriate parameters and noise intensity. Our results provide insights into the transmission of complex signals in nerve system, which is valuable in engineering prospective applications such as information encoding.
引用
收藏
页数:11
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