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设置一个与约瑟夫森结和压电源耦合的双电容神经元。

Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source.

作者信息

Chen Yixuan, Yang Feifei, Ren Guodong, Wang Chunni

机构信息

Department of Physics, Lanzhou University of Technology, Lanzhou, 730050 China.

College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050 China.

出版信息

Cogn Neurodyn. 2024 Oct;18(5):3125-3137. doi: 10.1007/s11571-024-10145-6. Epub 2024 Jul 2.

Abstract

Perception of voice means acoustic electric conversion in the auditory system, and changes of external magnetic field can affect the neural activities by taming the channel current via some field components including memristor and Josephson junction. Combination of two capacitors via an electric component is effective to describe the physical property of artificial cell membrane, which is often used to reproduce the characteristic of electric activities in cell membrane. Involvement of two capacitive variables for two capacitors in the neural circuit can discern the effect of field diversity in the media in two sides of the cell membrane in theoretical way. A Josephson junction is used to couple a piezoelectric neural circuit composed of two capacitors, one inductor and one nonlinear resistor. Field energy is mainly kept in the capacitive and inductive components, and it is obtained and converted into dimensionless energy function. The Hamilton energy function in an equivalent auditory neuron is verified by using the Helmholtz theorem. Noisy excitation on the neural circuit can be detected via the Josephson junction channel and similar stochastic resonance is detected by regulating the noise intensity, as a result, the average energy reaches a peak value under stochastic resonance. An adaptive law controls the bifurcation parameter, which is relative to the membrane property, and energy shift controls the mode selection during continuous growth of the bifurcation parameter. That is, external energy injection derived from acoustic wave or magnetic field will control the energy level, and then suitable firing patterns are controlled effectively.

摘要

声音感知意味着听觉系统中的声电转换,外部磁场的变化可通过包括忆阻器和约瑟夫森结在内的某些场分量来调节通道电流,从而影响神经活动。通过一个电气元件将两个电容器组合起来,可有效地描述人工细胞膜的物理特性,人工细胞膜常用于再现细胞膜电活动的特征。在神经回路中,两个电容器的两个电容变量的参与能够从理论上辨别细胞膜两侧介质中场多样性的影响。一个约瑟夫森结用于耦合一个由两个电容器、一个电感器和一个非线性电阻器组成的压电神经回路。场能主要存储在电容性和电感性元件中,并被获取并转换为无量纲能量函数。利用亥姆霍兹定理验证了等效听觉神经元中的哈密顿能量函数。通过约瑟夫森结通道可以检测到神经回路上的噪声激励,并且通过调节噪声强度检测到类似的随机共振,结果,平均能量在随机共振下达到峰值。一个自适应律控制与膜特性相关的分岔参数,并且能量偏移在分岔参数持续增长期间控制模式选择。也就是说,来自声波或磁场的外部能量注入将控制能量水平,进而有效地控制合适的放电模式。

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