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Dynamics and synchronization in a memristor-coupled discrete heterogeneous neuron network considering noise

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Chinese physics B 2024年第2期33卷 537-544页

作者：晏询李志军李春来 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China School of Computer Science&School of Cyberspace Science Xiangtan UniversityXiangtan 411105China

Research on discrete memristor-based neural networks has received much ***,current research mainly focuses on memristor–based discrete homogeneous neuron networks,while memristor-coupled discrete heterogeneous neuron networks are rarely *** this study,a new four-stable discrete locally active memristor is proposed and its nonvolatile and locally active properties are verified by its power-off plot and DC V–I *** on two-dimensional(2D)discrete Izhikevich neuron and 2D discrete Chialvo neuron,a heterogeneous discrete neuron network is constructed by using the proposed discrete memristor as a coupling synapse connecting the two heterogeneous *** the coupling strength as the control parameter,chaotic firing,periodic firing,and hyperchaotic firing patterns are *** particular,multiple coexisting firing patterns are observed,which are induced by different initial values of the *** synchronization between the two heterogeneous neurons is discussed and it is found that they can achieve perfect synchronous at large coupling ***,the effect of Gaussian white noise on synchronization behaviors is also *** demonstrate that the presence of noise not only leads to the transition of firing patterns,but also achieves the phase synchronization between two heterogeneous neurons under low coupling strength.

关键词： heterogeneous neuron network discrete memristor coexisting attractors synchronization noise

Dynamical behaviors in discrete memristor-coupled small-world neuronal networks

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Chinese physics B 2024年第4期33卷 729-734页

作者：鲁婕妤谢小华卢亚平吴亚联李春来马铭磷 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China School of Computer Science School of Cyberspace Science Xiangtan UniversityXiangtan 411105China

The brain is a complex network system in which a large number of neurons are widely connected to each other and transmit signals to each *** memory characteristic of memristors makes them suitable for simulating neuronal synapses with *** this paper,a memristor is used to simulate a synapse,a discrete small-world neuronal network is constructed based on Rulkov neurons and its dynamical behavior is *** explore the influence of system parameters on the dynamical behaviors of the discrete small-world network,and the system shows a variety of firing patterns such as spiking firing and triangular burst firing when the neuronal parameterαis *** results of a numerical simulation based on Matlab show that the network topology can affect the synchronous firing behavior of the neuronal network,and the higher the reconnection probability and number of the nearest neurons,the more significant the synchronization state of the *** addition,by increasing the coupling strength of memristor synapses,synchronization performance is *** results of this paper can boost research into complex neuronal networks coupled with memristor synapses and further promote the development of neuroscience.

关键词： small-world networks Rulkov neurons memristor synchronization

Multiple mixed state variable incremental integration for reconstructing extreme multistability in a novel memristive hyperchaotic jerk system with multiple cubic nonlinearity

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Chinese physics B 2024年第2期33卷 238-246页

作者：王梦蛟辜玲芳 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China

Memristor-based chaotic systems with infinite equilibria are interesting because they generate extreme *** initial state-dependent dynamics can be explained in a reduced-dimension model by converting the incremental integration of the state variables into system ***,this approach cannot solve memristive systems in the presence of nonlinear terms other than the memristor *** addition,the converted state variables may suffer from a degree of *** allow simpler mechanistic analysis and physical implementation of extreme multistability phenomena,this paper uses a multiple mixed state variable incremental integration(MMSVII)method,which successfully reconstructs a four-dimensional hyperchaotic jerk system with multiple cubic nonlinearities except for the memristor term in a three-dimensional model using a clever linear state variable mapping that eliminates the divergence of the state ***,the simulation circuit of the reduced-dimension system is constructed using Multisim simulation software and the simulation results are consistent with the MATLAB numerical simulation *** results show that the method of MMSVII proposed in this paper is useful for analyzing extreme multistable systems with multiple higher-order nonlinear terms.

关键词： extreme multistability hyperchaotic jerk system nonlinearity

Dynamical behavior of memristor-coupled heterogeneous discrete neural networks with synaptic crosstalk

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Chinese physics B 2024年第2期33卷 545-550页

作者：马铭磷熊康灵李志军贺少波 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China

Synaptic crosstalk is a prevalent phenomenon among neuronal synapses,playing a crucial role in the transmission of neural ***,considering synaptic crosstalk behavior and investigating the dynamical behavior of discrete neural networks are highly *** this paper,we propose a heterogeneous discrete neural network(HDNN)consisting of a three-dimensional KTz discrete neuron and a Chialvo discrete *** two neurons are coupled mutually by two discrete memristors and the synaptic crosstalk is *** impact of crosstalk strength on the firing behavior of the HDNN is explored through bifurcation diagrams and Lyapunov *** is observed that the HDNN exhibits different coexisting attractors under varying crosstalk ***,the influence of different crosstalk strengths on the synchronized firing of the HDNN is investigated,revealing a gradual attainment of phase synchronization between the two discrete neurons as the crosstalk strength decreases.

关键词： discrete memristor synaptic crosstalk coexisting attractor phase synchronization

Phonon transport properties of Janus Pb_(2)XAs(X=P,Sb,and Bi)monolayers:A DFT study

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Chinese physics B 2024年第4期33卷 71-76页

作者：耿嘉鑫张培汤准韵欧阳滔 School of physics and Optoelectronics and Hunan Key Laboratory for Micro-Nano Energy Materials and Device Xiangtan UniversityXiangtan 411105China Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials School of Physics and ElectronicsHunan University of Science and TechnologyXiangtan 411201China

Grasping the underlying mechanisms behind the low lattice thermal conductivity of materials is essential for the efficient design and development of high-performance thermoelectric materials and thermal barrier coating *** this paper,we present a first-principles calculations of the phonon transport properties of Janus Pb_(2)PAs and Pb_(2)SbAs *** materials possess low lattice thermal conductivity,at least two orders of magnitude lower than graphene and *** room temperature thermal conductivity of Pb_(2)SbAs(0.91 W/m K)is only a quarter of that of Pb_(2)PAs(3.88 W/m K).We analyze in depth the bonding,lattice dynamics,and phonon mode level information of these ***,it is determined that the synergistic effect of low group velocity due to weak bonding and strong phonon anharmonicity is the fundamental cause of the intrinsic low thermal conductivity in these Janus *** regular residual analysis further indicates that the four-phonon processes are limited in Pb_(2)PAs and Pb_(2)SbAs,and the three-phonon scattering is sufficient to describe their *** this study,the thermal transport properties of Janus Pb_(2)PAs and Pb_(2)SbAs monolayers are illuminated based on fundamental physical mechanisms,and the low lattice thermal conductivity endows them with the potential applications in the field of thermal barriers and thermoelectrics.

关键词： lattice thermal conductivity weak bonding phonon anharmonicity first principles calculations

A novel variable-order fractional chaotic map and its dynamics

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Chinese physics B 2024年第3期33卷 281-290页

作者：唐周青贺少波王会海孙克辉姚昭吴先明 School of Electronic Information Central South UniversityChangsha 410083China School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China School of physics Central South UniversityChangsha 410083China School of Mechanical and Electrical Engineering Guizhou Normal UniversityGuiyang 550025China

In recent years,fractional-order chaotic maps have been paid more attention in publications because of the memory *** paper presents a novel variable-order fractional sine map(VFSM)based on the discrete fractional ***,the order is defined as an iterative function that incorporates the current state of the *** analyzing phase diagrams,time sequences,bifurcations,Lyapunov exponents and fuzzy entropy complexity,the dynamics of the proposed map are investigated comparing with the constant-order fractional sine *** results reveal that the variable order has a good effect on improving the chaotic performance,and it enlarges the range of available parameter values as well as reduces non-chaotic *** coexisting attractors also enrich the dynamics of VFSM and prove its sensitivity to initial ***,the sequence generated by the proposed map passes the statistical test for pseudorandom number and shows strong robustness to parameter estimation,which proves the potential applications in the field of information security.

关键词： chaos fractional difference variable order multistability complexity

Efficient terahertz generation from van der Waalsα-In_(2)Se_(3)

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Chinese Optics Letters 2024年第1期22卷 141-146页

作者：段诗婕杨鸣周溯媛张隆辉韩锦森孙旭王广刘昌勤康冬冬王小伟陈家浩戴佳钰 department of physics College of ScienceNational University of Defense TechnologyChangsha 410073China Hunan Key Laboratory of Extreme Matter and Applications(XMAL) Changsha 410073China Hunan Key Laboratory for Micro-Nano Energy Materials and Devices School of Physics and OptoelectronicsXiangtan UniversityXiangtan 411105China Guangxi Key Laboratory of Automatic Detecting Technology and Instrument Guilin University of Electronic TechnologyGuilin 541004China

Two-dimensional(2D)van der Waals materials have attracted tremendous attention due to their versatile physical properties and flexible manipulation *** the various types of van der Waals materials,α-In_(2)Se_(3)is remarkable for its intrinsic 2D ferroelectricity and high-performance opto-electronic ***,the study of theα-In_(2)Se_(3)system in terahertz(THz)radiation is scarce,although it is promising for electrically controlled THz field *** investigate theα-In_(2)Se_(3)in different thicknesses and report that the THz generation efficiency induced by femtosecond laser pulses can be largely improved by reducing the thickness from the ***,we reveal the surge current in thin film coupled with THz emission exhibits a different Auger recombination mode,which is helpful in understanding the mechanism and provides insights into the design of 2D highly efficient THz devices.

关键词： van der Waals terahertz carrier dynamics

Quick Weighing of Passing Vehicles Using the Transfer-Learning-Enhanced Convolutional Neural Network

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2507-2524页

作者： Wangchen Yan Jinbao Yang Xin Luo College of Civil Engineering Xiangtan UniversityXiangtan411105China Energy&Environmental Engineering department China CEC Engineering CorporationChangsha410114China

Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning *** this study,a transfer learningenhanced convolutional neural network(CNN)was proposed to identify the gross weight and the axle weight of moving vehicles on the *** proposed transfer learning-enhanced CNN model was expected to weigh different bridges based on a small amount of training datasets and provide high identification *** of all,a CNN algorithm for bridge weigh-in-motion(B-WIM)technology was proposed to identify the axle weight and the gross weight of the typical two-axle,three-axle,and five-axle vehicles as they crossed the bridge with different loading routes and ***,the pre-trained CNN model was transferred by fine-tuning to weigh themoving vehicle on another ***,the identification accuracy and the amount of training data required were compared between the two CNN *** showed that the pre-trained CNN model using transfer learning for B-WIM technology could be successfully used for the identification of the axle weight and the gross weight for moving vehicles on another bridge while reducing the training data by 63%.Moreover,the recognition accuracy of the pre-trained CNN model using transfer learning was comparable to that of the original model,showing its promising potentials in the actual applications.

关键词： Bridge weigh-in-motion transfer learning convolutional neural network

Numerical study of a bi-directional in-band pumped dysprosium-doped fluoride fiber laser at 3.2μm

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Frontiers of Information Technology & Electronic Engineering 2024年第7期25卷 1017-1024页

作者： Lingjing LI Chunyang MA Nian ZHAO Jie PENG Bin LIU Haining JI Yuchen WANG Pinghua TANG School of physics and Optoelectronics Xiangtan UniversityXiangtan 411105China Research Center of Circuits and Systems Peng Cheng LaboratoryShenzhen 518055China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201899China

Dy^(3+)-doped fluoride fiber lasers have important applications in environment monitoring,real-time sensing,and polymer *** present,achieving a high-efficiency and high-power Dy^(3+)-doped fluoride fiber laser in the mid-infrared(mid-IR)region over 3μm is a scientific and technological ***,Dy^(3+)-doped fluoride fiber lasers use a unidirectional pumping method,which suffers from the drawback of high thermal loading density on the fiber tips,thus limiting power *** this study,a bi-directional in-band pumping scheme,to address the limitations of output power scaling and to enhance the efficiency of the Dy^(3+)-doped fluoride fiber laser at 3.2μm,is investigated numerically based on rate equations and propagation *** simulation results reveal that the optical‒optical efficiency of the bi-directional in-band pumped Dy^(3+)-doped fluoride fiber laser can reach 75.1%,approaching the Stokes limit of 87.3%.The potential for further improvement of the efficiency of the Dy^(3+)-doped fluoride fiber laser is also *** bi-directional pumping scheme offers the intrinsic advantage of mitigating the thermal load on the fiber tips,unlike unidirectional pumping,in addition to its high *** a result,it is expected to significantly scale the power output of Dy^(3+)-doped fluoride fiber lasers in the mid-IR regime.

关键词： Mid-infrared laser Fiber laser Bi-directional pumping