8 results on '"Wang, Chunni"'
Search Results
2. Dynamics of electric activities in neuron and neurons of network induced by autapses
- Author
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Qin, HuiXin, Ma, Jun, Jin, WuYin, and Wang, ChunNi
- Published
- 2014
- Full Text
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3. Simulating the formation of spiral wave in the neuronal system
- Author
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Ma, Jun, Hu, Bolin, Wang, Chunni, and Jin, Wuyin
- Published
- 2013
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4. Synchronization behaviors of coupled neurons under electromagnetic radiation.
- Author
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Ma, Jun, Wu, Fuqiang, and Wang, Chunni
- Subjects
NEURONS ,ELECTROMAGNETIC radiation ,MAGNETIC flux ,FLUCTUATIONS (Physics) ,SYNCHRONIZATION - Abstract
Based on an improved neuronal model, in which the effect of magnetic flux is considered during the fluctuation and change of ion concentration in cells, the transition of synchronization is investigated by imposing external electromagnetic radiation on the coupled neurons, and networks, respectively. It is found that the synchronization degree depends on the coupling intensity and the intensity of external electromagnetic radiation. Indeed, appropriate intensity of electromagnetic radiation could be effective to realize intermittent synchronization, while stronger intensity of electromagnetic radiation can induce disorder of coupled neurons and network. Neurons show rhythm synchronization in the electrical activities by increasing the coupling intensity under electromagnetic radiation, and spatial patterns can be formed in the network under smaller factor of synchronization. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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5. Local pacing, noise induced ordered wave in a 2D lattice of neurons.
- Author
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Xu, Ying, Wang, Chunni, Lv, Mi, and Tang, Jun
- Subjects
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STOCHASTIC resonance , *ARTIFICIAL neural networks , *NEAREST neighbor analysis (Statistics) , *TRAVELING waves (Physics) , *NEURONS , *ELECTRIC properties of cells - Abstract
Appropriate noise can enhance the regularity in electrical activity of neuron, and stochastic resonance emerges when periodic forcing is imposed on the neuron and/or neuronal network. In this paper, periodic forcing is imposed on some neurons of a two-dimensional square lattice with nearest-neighbor connection (the boundary of one side in the network of neurons), which the local kinetics of node is described by Hindmarsh-Rose neuron, while noise is imposed on another side of the two-dimensional lattice. Indeed, spiral waves can be developed in the side of the network driven by appropriate noise intensity while the another side is occupied by plane wave. A statistical factor of synchronization is defined to discern the occurrence of regularity induced by local noise and local pacing. The emitted plane wave from one side of network can be suppressed by noise and disordered state emerges with stronger noise being used on all nodes of the network, furthermore, spiral wave is induced in the network under appropriate noise intensity. The network shows spatial regularity when spiral wave is developed and it is interesting to find spiral wave can coexist with plane wave in the network. Stochastic resonance-like behavior could be observed in the two-dimensional lattice composed of neurons even if noise and periodic forcing are imposed on different areas of the network. The occurrence of spatial regularity under coherence could rely on the competition between noise driving-induced segments and wave fronts induced by periodic forcing. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
6. Collapse of ordered spatial pattern in neuronal network.
- Author
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Song, Xinlin, Wang, Chunni, Ma, Jun, and Ren, Guodong
- Subjects
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ARTIFICIAL neural networks , *SPATIOTEMPORAL processes , *NEURONS , *SPATIAL distribution (Quantum optics) , *DISTRIBUTION (Probability theory) , *RANDOM variables - Abstract
Spatiotemporal systems can emerge some regular spatial patterns due to self organization or under external periodical pacing while external attack or intrinsic collapse can destroy the regularity in the spatial system. For an example, the electrical activities of neurons in nervous system show regular spatial distribution under appropriate coupling and connection. It is believed that distinct regularity could be induced in the media by appropriate forcing or feedback, while a diffusive collapse induced by continuous destruction can cause breakdown of the media. In this paper, the collapse of ordered spatial distribution is investigated in a regular network of neurons (Morris–Lecar, Hindmarsh–Rose) in two-dimensional array. A stable target wave is developed regular spatial distribution emerges by imposing appropriate external forcing with diversity, or generating heterogeneity (parameter diversity in space). The diffusive invasion could be produced by continuous parameter collapse or switch in local area, e.g, the diffusive poisoning in ion channels of potassium in Morris–Lecar neurons causes breakdown in conductance of channels. It is found that target wave-dominated regularity can be suppressed when the collapsed area is diffused in random. Statistical correlation functions for sampled nodes (neurons) are defined to detect the collapse of ordered state by series analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
7. Emitting waves from defects in network with autapses.
- Author
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Qin, Huixin, Wu, Ying, Wang, Chunni, and Ma, Jun
- Subjects
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WAVE analysis , *NEURONS , *SYNAPSES , *PSYCHOLOGICAL feedback , *CLOSED loop systems , *TIME delay systems - Abstract
Autapse is an unusual type of synapse generated by a neuron on itself. The effect of autapse connected to a neuron is often described by using a self-feedback forcing current in a close loop, and the electric activities of neuron can be regulated by the autapse greatly. Generally, positive feedback in the autapse can excite the quiescent neuron while negative feedback often calms down the excitable neuron. In this paper, the Hindmarsh–Rose neuron model is used to define the local kinetics of each node in the neuronal network, and the distribution of autapses in the network is considered to investigate the emergence of emitting wave induced by autapse (in electrical type) with negative feedback. In the case of ring network, it is found that pulse can be blocked by the neurons with negative feedback in autapse, and the pulse also can keep alive in the ring network stably under appropriate coupling intensity. Furthermore, target wave can be induced in the two-dimensional square array, and the nodes adjusted by negative electrical feedback type in autapses can emit target-like waves to regulate the collective behaviors of neurons, this is a new type of wave formation results from diffraction. It concludes that local distribution of autapse with negative feedback type can generate ‘defects’ in the network, the diversity in excitability accounts for the emergence of emitting wave from these defects. Finally, the functional switch between negative and positive feedback in autapse is discussed, it is claimed that positive feedback autapse plays an important role in cheering up quiescent neurons, while the negative feedback in electric autapse can contribute to slow down the excitable neurons. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
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8. Target wave in the network coupled by thermistors.
- Author
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Zhang, Xiufang, Yao, Zhao, Guo, Yeye, and Wang, Chunni
- Subjects
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ELECTRONIC equipment , *TEMPERATURE distribution , *TEMPERATURE effect , *THEORY of wave motion , *COUPLES - Abstract
• Thermistor can control the dynamics in nonlinear circuit and temperature effect is estimated. • Time-varying and adjustable coupling can be triggered to control network synchronization. • Target wave can be induced and propagated in network due to diversity in temperature. Pattern formation and synchronization stability in the network are dependent on the local kinetics, connection type, and property of coupling channel. The coupling channels is often controlled to reach synchronization and pattern selection. From dynamical viewpoint, all the bifurcation parameters and coupling channels can be adjusted to get desired patterns and behaviors. However, the physical parameters for most of the electronic components are fixed even some of them can be adjusted in slight range. Thermistor is a kind of nonlinear electronic components, and its resistance is dependent on the temperature completely. It can be used to detect the fluctuation of environment temperature by building nonlinear circuits composed of thermistors. The coupling channel can be adjusted by the temperature when the thermistors are used to couple two or more nonlinear circuits. In this paper, the thermistors are used to couple Chua circuits in a square array with regular connection between adjacent nodes in the network. Gradient distribution of temperature on the network can induce diversity in the coupling intensity in the network because the channel resistances of the coupling thermistors are influenced by the heterogeneous distribution of temperature. In fact, the nodes close to the heat source have higher temperature and they are coupled with stronger intensity because of lower resistances for the coupling thermistors. Perfect target waves can be induced and propagated in the network by taming the temperature for coupling channels. Furthermore, statistical synchronization factor is calculated to estimate the synchronization stability and wave propagation in the network. These results suggested that physical components with adjustable parameters can be used in practical control of nonlinear systems. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
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