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Synchronization and wave propagation in neuronal network under field coupling

Science China(Technological Sciences) 2019年第3期62卷 448-457页

作者： LV Mi ma jun YAO YuanGen alzahrani faris Department of Physics Lanzhou University of Technology College of Electrical and Information Engineering Lanzhou University of Technology Department of Physics College of Science Huazhong Agricultural University NAAM-Research Group Department of Mathematics King Abdulaziz University

Electric and chemical synapse play important role in connecting neurons and thus signal propagation can be realized between neurons. External electric stimulus can change the excitability of neuron and then the electrical activities can be modulated completely. Continuous fluctuation of ion concentration in cell can induce complex time-varying electromagnetic field during the exchange of charged ions across the membrane of neuron. Polarization and magnetization in the media(and neuron), which exposed to electromagnetic radiation, can modulate the dynamical response and mode transition in electrical activities of neurons. In this paper, magnetic flux is used to describe the effect of electromagnetic field, and the three-variable HindmarshRose neuron model is updated to propose a four-variable neuron model that the effect of electromagnetic induction and radiation can be explained. Based on the physical law of electromagnetic induction, exchange of charged ions and flow of ion currents will change the distribution of electromagnetic filed in cell, and each neuron will be exposed to the superimposed field triggered by other neurons. Therefore, signal exchange could occur even synapse coupling between neurons is removed in the case of field coupling. A chain network is proposed to investigate the signal exchange between neurons under field coupling when synapse coupling is not available. It is found that field coupling between neurons can change the collective behaviors in electrical activities. A statistical factor of synchronization and spatial patterns are calculated, these results confirmed that field coupling is effective for signal communication between neurons. In the end, open problems are suggested for readers' extensive guidance in this field.

关键词： neuron memristor magnetic flux synchronization pattern formation

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A new photosensitive neuron model and its dynamics

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Frontiers of Information Technology & Electronic Engineering 2020年第9期21卷 1387-1396页

作者： Yong LIU Wan-jiang XU jun ma.fa.is alzahrani Aatef HOBINY School of mathematics and Statistics Yancheng Teachers UniversityYancheng 224002China Department of Physics Lanzhou University of TechnologyLanzhou 730050China School of Science Chongqing University of Posts and TelecommunicationsChongqing 430065China NAAM-Research Group Department of MathematicsKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Biological neurons can receive inputs and capture a variety of external stimuli,which can be encoded and transmitted as different electric ***,the membrane potential is adjusted to activate the appropriate firing ***,reliable neuron models should take intrinsic biophysical effects and functional encoding into *** fascinating and important question is the physical mechanism for the transcription of external *** signals can be transmitted as a transmembrane current or a signal voltage for generating action *** present a photosensitive neuron model to estimate the nonlinear encoding and responses of neurons driven by external optical *** the model,a photocell(phototube)is used to activate a simple FitzHugh-Nagumo(FHN)neuron,and then external optical signals(illumination)are imposed to excite the photocell for generating a time-varying current/voltage *** photocell-coupled FHN neuron can therefore capture and encode external optical signals,similar to artificial *** also present detailed bifurcation analysis for estimating the mode transition and firing pattern selection of neuronal electrical *** sampled time series can reproduce the main characteristics of biological neurons(quiescent,spiking,bursting,and even chaotic behaviors)by activating the photocell in the neural *** results could be helpful in giving possible guidance for studying neurodynamics and applying neural circuits to detect optical signals.

关键词： Photosensitive neuron Neuron model Bifurcation Bursting Photocell

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High-capacity quantum secure direct communication with two-photon six-qubit hyperentangled states

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Science China(Physics,Mechanics & Astronomy) 2017年第12期60卷 19-25页

作者： fangZhou Wu GuoJian Yang HaiBo Wang jun Xiong faris alzahrani Aatef Hobiny FuGuo Deng Applied Optics Beijing Area major Laboratory Department of Physics Beijing Normal University NAAM-Research Group Department of Mathematics Faculty of Science King Abdulaziz University

This study proposes the first high-capacity quantum secure direct communication(QSDC) with two-photon six-qubit hyperentangled Bell states in two longitudinal momentum and polarization degrees of freedom(DOFs) of photon pairs, which can be generated using two 0.5 mm-thick type-I β barium borate crystal slabs aligned one behind the other and an eight-hole screen. The secret message can be independently encoded on the photon pairs with 64 unitary operations in all three DOFs. This protocol has a higher capacity than previous QSDC protocols because each photon pair can carry 6 bits of information, not just 2 or 4 *** QSDC protocol decreases the influence of decoherence from environment noise by exploiting the decoy photons to check the security of the transmission of the first photon sequence. Compared with two-way QSDC protocols, our QSDC protocol is immune to an attack by an eavesdropper using Trojan horse attack strategies because it is a one-way quantum *** QSDC protocol has good applications in the future quantum communication because of all these features.

关键词： quantum secure direct communication high capacity hyperentanglement two-photon six-qubit systems decoy photons

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