Literature DB >> 31741695

Temperature effect on memristive ion channels.

Ying Xu1, Jun Ma2,3,4, Xuan Zhan1, Lijian Yang1, Ya Jia1.   

Abstract

Neuron shows distinct dependence of electrical activities on membrane patch temperature, and the mode transition of electrical activity is induced by the patch temperature through modulating the opening and closing rates of ion channels. In this paper, inspired by the physical effect of memristor, the potassium and sodium ion channels embedded in the membrane patch are updated by using memristor-based voltage gate variables, and an external stimulus is applied to detect the variety of mode selection in electrical activities under different patch temperatures. It is found that each ion channel can be regarded as a physical memristor, and the shape of pinched hysteresis loop of memristor is dependent on both input voltage and patch temperature. The pinched hysteresis loops of two ion-channel memristors are dramatically enlarged by increasing patch temperature, and the hysteresis lobe areas are monotonously reduced with the increasing of excitation frequency if the frequency of external stimulus exceeds certain threshold. However, for the memristive potassium channel, the AREA1 corresponding to the threshold frequency is increased with the increasing of patch temperature. The amplitude of conductance for two ion-channel memristors depends on the variation of patch temperature. The results of this paper might provide insights to modulate the neural activities in appropriate temperature condition completely, and involvement of external stimulus enhance the effect of patch temperature. © Springer Nature B.V. 2019.

Entities:  

Keywords:  Ion channels; Memristor; Patch temperature; Pinched hysteresis loop

Year:  2019        PMID: 31741695      PMCID: PMC6825079          DOI: 10.1007/s11571-019-09547-8

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  26 in total

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5.  Energy coding in neural network with inhibitory neurons.

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Journal:  Cogn Neurodyn       Date:  2014-10-01       Impact factor: 5.082

6.  Influence of active synaptic pools on the single synaptic event.

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7.  Insensitivity of synchronization to network structure in chaotic pendulum systems with time-delay coupling.

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8.  Adaptive sparse coding based on memristive neural network with applications.

Authors:  Xun Ji; Xiaofang Hu; Yue Zhou; Zhekang Dong; Shukai Duan
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9.  Energy expenditure computation of a single bursting neuron.

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Review 10.  Can the activities of the large scale cortical network be expressed by neural energy? A brief review.

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Journal:  Cogn Neurodyn       Date:  2015-09-03       Impact factor: 5.082

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  8 in total

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2.  Electric activities of time-delay memristive neuron disturbed by Gaussian white noise.

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4.  Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model.

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5.  Energy features in spontaneous up and down oscillations.

Authors:  Yihong Wang; Xuying Xu; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2020-05-29       Impact factor: 5.082

6.  Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction.

Authors:  Yumei Yang; Jun Ma; Ying Xu; Ya Jia
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7.  Anti-control of periodic firing in HR model in the aspects of position, amplitude and frequency.

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Journal:  Cogn Neurodyn       Date:  2020-08-25       Impact factor: 3.473

8.  Effect of temperature fluctuation on the localized pattern of action potential in cardiac tissue.

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Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

  8 in total

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