Article
Physics, Applied
Shuai Qiao, Chenghua Gao, Xinlei An, Xingyue He, Jingjing Wang
Summary: This study investigates the electric activities and bifurcation patterns of a hybrid neuron model combining the Wilson and Hindmarsh-Rose models, as well as magnetic flux, using Matcont software and numerical calculations. The study finds that electromagnetic induction and electrical autapse play important roles in the stability and bifurcation of the system, and that positive and negative feedback autapse have different effects on the bistable structure.
MODERN PHYSICS LETTERS B
(2022)
Article
Engineering, Chemical
Hansi Chen, Jinghong Zhao, Yiyong Xiong, Xiangyu Luo, Qingfei Zhang
Summary: This study investigates the electromagnetic force and vibration of induction motors, establishes prediction models, and proposes optimization methods. Surprisingly, it is found that larger slot opening schemes can reduce magnetic noise.
Article
Engineering, Chemical
Hansi Chen, Jinghong Zhao, Yiyong Xiong, Sinian Yan, Hao Xu
Summary: This paper investigates the reduction of electromagnetic noise in five-phase squirrel cage induction motors. By utilizing slot-number phase diagram and electromagnetic force-vibration-acoustic analytical model, the influence of pole-slot schemes on magnetic noise is analyzed. The feasibility of electromagnetic noise prediction is verified through finite element simulation and experiments. The study provides a pole-slot numbers matching rule for noise reduction design of five-phase motors in different power ranges.
Article
Engineering, Mechanical
Jinyi Zhao, Qingyun Wang
Summary: This paper explores the role of electromagnetic induction in epileptic seizures by investigating the dynamical mechanisms. It reveals that electromagnetic induction has a dual effect, triggering 2-SWDs to expand seizure areas caused by certain factors while also having some elimination effect on other seizures. By uncovering internal bifurcation mechanisms in dynamical transitions, the study sheds light on the potential role of electromagnetic induction in epilepsy.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Mechanical
Xinlei An, Li Xiong, Qianqian Shi, Shuai Qiao, Li Zhang
Summary: This paper improves a five-dimensional neuron model based on Faraday's law of electromagnetic induction, and discusses its rich dynamics and application in image encryption. The equilibrium point distribution is analyzed and subcritical Hopf bifurcation and coexisting mode firing are found. Numerical simulations show various firing rhythms. The research results provide theoretical guidance and experimental basis for the practical application of digital image encryption.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Applied
Hongtao Hua, Huaguang Gu, Yanbing Jia, Bo Lu
Summary: This paper investigates the effects of noise on the nervous system, particularly the stochastic dynamics of coherence resonance (CR), anti-CR, and non-CR. Different bursting patterns are studied, and the corresponding nonlinear mechanisms are presented. The study reveals that noise can induce transitions between burst/spike and quiescent state/subthreshold oscillations, leading to different stochastic dynamics.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Cell Biology
Felix Schneider, Fabien Balezeau, Claudia Distler, Yukiko Kikuchi, Jochem van Kempen, Alwin Gieselmann, Christopher Petkov, Alexander Thiele, Timothy D. Griffiths
Summary: The brain's ability to segregate figure-ground is crucial for auditory perception in noisy environments. In rhesus macaques, figure-ground modulation of multi-unit activity was observed in both the primary and non-primary auditory cortex. Activity increases upon presentation of auditory figures, suggesting that neural mechanisms for perceptual grouping are independent of behavioral demands to some extent. Additionally, differences in figure encoding were demonstrated between anterior and posterior regions, with perceptual saliency represented only in anterior cortical fields. Our results indicate an encoding of auditory figures from early cortical stages through a rate code.
Article
Engineering, Mechanical
L. Messee Goulefack, A. Cheage Chamgoue, C. Anteneodo, R. Yamapi
Summary: In this study, we modified the Hindmarsh-Rose neuron model to account for the effect of electromagnetic induction on membrane potential. We found that increasing magnetic flux reduces the number of equilibrium points and enhances their stability. As a result, electromagnetic induction tends to regularize chaotic regimes and affect regular and quasi-regular states by reducing the number of spikes or even destroying oscillations.
NONLINEAR DYNAMICS
(2022)
Article
Physics, Multidisciplinary
Ben Cao, Huaguang Gu, Yuye Li
Summary: This study investigates two different bursting patterns and finds that excitatory modulation can reduce the number of spikes per burst under suitable time delay and self-feedback strength. The average firing frequency of the bursting patterns shows different trends, which are related to their internal mechanisms.
Article
Physics, Multidisciplinary
Hu Xiaoyu, Wang Shuai, Liu Chongxin
Summary: In this paper, a three-dimensional improved Hindmarsh-Rose neuron model considering the influence of electromagnetic induction is proposed. The model has no equilibrium point and can present different types of hidden coexisting firing patterns. By varying system parameters, the neuron model can show bubble-like bifurcation modes.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Ranjit Kumar Upadhyay, Sanjeev Kumar Sharma, Arnab Mondal, Argha Mondal
Summary: This paper focuses on the firing responses of a single neuron model and a neuronal network to understand collective neuronal dynamics. The authors study an excitable slow-fast memristive model with a periodic external stimulus and find various types of spiking, bursting, mixed-mode oscillations, and mixed-mode bursting oscillations in the single model. Bifurcation analysis reveals the existence of Hopf bifurcations and their stability, and the authors also investigate the emergence of multi-arm antispiral waves in the diffusively coupled system. Furthermore, the dynamics of a random network architecture are explored, showing the generation of different firing activities with heterogeneous desynchronized neurons and higher electrical couplings.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Physics, Multidisciplinary
Xueqin Wang, Dong Yu, Tianyu Li, Ya Jia
Summary: This paper investigates the phenomenon of logical stochastic resonance in Hodgkin-Huxley neurons under electromagnetic effects. It is found that appropriately reducing the magnitude of the external bias current allows Hodgkin-Huxley neurons to perform reliable logic operations while consuming less energy. Additionally, an appropriate increase in coupling strength in neuronal networks has a favorable impact on system logic operations. Small-world networks outperform scale-free networks for logical operations.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Nanoscience & Nanotechnology
Anna V. Gubarevich, Gen Homma, Katsumi Yoshida
Summary: In this study, electromagnetic induction was used to densify boron carbide, one of the hardest-to-sinter non-oxide ceramics. The results showed that densification of boron carbide to a relative density of 95% was achieved in less than 5 minutes without the use of sintering additives and external mechanical pressure. The densified samples exhibited no cracks, with a Vickers' hardness of 30 GPa, Young's modulus of 322-415 GPa, and fracture toughness of 3.38-4.82 MPa·m1/2. The densification was observed to be higher closer to the surface, indicating a gradient of densification.
SCRIPTA MATERIALIA
(2024)
Article
Engineering, Multidisciplinary
Guorui Feng, Huiru Wei, Tingye Qi, Xiaoming Pei, Hong Wang
Summary: An improved VMD algorithm based on WOA is proposed to better handle noise in TEM signals. Through simulation comparison tests and field experiments, the effectiveness of this method in noise processing and data interpretation has been verified.
Article
Mathematics
Qixiang Wen, Shenquan Liu, Bo Lu
Summary: The study explored the mathematical properties of a four-dimensional endocrine neuron model and discovered various dynamic behaviors, including period-adding, period-doubling, and mixed-mode oscillations. The model exhibited more firing activities under strong coupling strength, indicating that endocrine neurons are highly sensitive to changes in external stimuli and current.
ELECTRONIC RESEARCH ARCHIVE
(2021)
Article
Engineering, Multidisciplinary
Ying Xie, Ping Zhou, Jun Ma
Summary: This paper investigates the problem of information exchange and signal encoding between neural circuits. The results show that adaptive synchronization between different neural circuits can be achieved through coupling, and energy diversity plays an important role in controlling synchronization.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Mathematics, Interdisciplinary Applications
Zhigang Zhu, Xiaofeng Zhang, Yisen Wang, Jun Ma
Summary: This paper investigates the adaptation and filtering capability of a sound-sensitive neural circuit using a FitzHugh-Nagumo based autaptic neuron. The results show that the excitatory chemical autapse can act as a narrow-band filter, while the inhibitory chemical autapse enables the neuron to converge its amplitude and exhibits bursting adaptation. Additionally, the electrical autaptic neuron's response can be modulated by both time-delay feedback gains.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2023)
Article
Computer Science, Artificial Intelligence
Dong Liu, Yong Wang, Chenhong Luo, Jun Ma
Summary: This study proposes an improved autoencoder to address the challenges of sparsity and uneven distribution of rating data in the recommendation domain. Two recommendation schemes based on the improved autoencoder are presented for rating prediction and top -N ranking tasks. Experimental results demonstrate about 5% and 3% improvements in rating prediction and top -N ranking, respectively. Therefore, the improved model effectively handles the challenges and achieves good recommendation performance.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Engineering, Mechanical
Ying Xie, Ying Xu, Jun Ma
Summary: Identical nonlinear oscillators can achieve synchronous states through regulation, while non-identical oscillators can reach phase lock when the coupling channels are controllable. Continuous energy supply and pumping are crucial for periodic or chaotic oscillators and energy exchange occurs when coupling channels are activated. In biological neurons, continuous diffusion of intracellular and extracellular ions activates an electromagnetic field, and the inner field energy can be approximated by the equivalent Hamilton energy of the neuron. This paper investigates the impact of energy diversity on the desynchronization of neurons with parameter diversity, and emphasizes the importance of distinct energy diversity in preventing seizures accompanied by synchronous bursting in neurons.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Applied
Fuqiang Wu, Yitong Guo, Jun Ma, Wuyin Jin
Summary: In this paper, an equivalent circuit is designed using two memristive Josephson junctions coupled by a resistor and two inductors to mimic the characteristics of biological neurons. The circuit can reproduce bursting activities similar to neurons through numerical simulation. Additionally, the coupled memristive Josephson junctions can achieve in-phase and antiphase synchronization. The synchronous behaviors are analyzed by discerning the interspike interval of phase difference and average Hamilton energy.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Veli Baysal, Ramazan Solmaz, Jun Ma
Summary: The signal encoding capacity of the nervous system is significantly related to the spiking regime of neurons. Chaotic fluctuations in the neuronal medium are thought to enhance cognitive functions. External chaotic activity at a suitable level enhances the weak signal encoding performance of neurons, especially when the weak signal frequency matches the chaotic fluctuations-induced sub-threshold oscillations frequencies. This manipulation is explained by chaotic resonance.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Shidong Zhai, Penglei Zhao, Yongtao Xie, Jun Ma
Summary: This paper introduces a complex network of interaction between human behavior and virus transmission, and analyzes the influence of individual group behavior on virus transmission, as well as the reciprocal influence of virus transmission on individual group behavior. The paper also examines the effects of evolving network structures on cluster synchronization and provides discriminant conditions for distinguishing between aggregation behavior and virus extinction. Through simulations conducted under various conditions, the findings are rigorously validated, confirming their validity and reliability.
Article
Mathematics, Applied
Yitong Guo, Fuqiang Wu, Feifei Yang, Jun Ma
Summary: This study investigates the control mechanism of neuron membrane potential and the adaptive characteristics of neurons. By simulating the physical properties of cell membranes and adding an induction channel, coherence resonance and mode selection under adaptive excitation are discovered. An adaptive control law is proposed to explain the controllability of cell membranes under external stimuli.
Letter
Mathematics, Interdisciplinary Applications
Ping Zhou, Jun Ma, Ying Xu
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Mechanical
Yitong Guo, Ying Xie, Jun Ma
Summary: This article discusses the methods for setting the energy function of memory resistors in neurons, and proposes two schemes to obtain the equivalent energy function. The research shows that maps are more suitable for investigating neural activities than neuron oscillators.
NONLINEAR DYNAMICS
(2023)
Article
Optics
Feifei Yang, Jun Ma
Summary: A controllable photosensitive neuron model is built by incorporating two phototubes in parallel in the FitzHugh-Nagumo neural circuit. The generated photocurrents from the different illuminations activate different firing modes in this light-sensitive neuron. Switching between the two phototubes induces significant pattern transitions in the neural activity.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Mathematics, Applied
Ya Wang, Liang Wang, Huawei Fan, Jun Ma, Hui Cao, Xingang Wang
Summary: Recent in vivo experiments have shown that astrocytes, a type of glial cell previously thought to provide structural and metabolic support to neurons, actively participate in brain functions by regulating neural firing activities. In this study, the authors propose a complex neuron-astrocyte network model and investigate the role of astrocytes in regulating cluster synchronization behaviors of chaotic neurons. They find that a specific set of neurons form a synchronized cluster while the remaining neurons remain desynchronized. Moreover, the cluster switches between synchronous and asynchronous states in an intermittent fashion, known as the breathing cluster phenomenon. The authors conduct theoretical investigations on the synchronizability of the cluster and reveal that the cluster contents are determined by network symmetry, while the breathing of the cluster is attributed to the interplay between the neural network and the astrocyte.
Article
Computer Science, Artificial Intelligence
D. Vignesh, Jun Ma, Santo Banerjee
Summary: In this article, a discrete fractional Hopfield neural network model is proposed to investigate the influence of external stimuli in the presence of electromagnetic induction and radiation. The network model exhibits chaotic dynamics and coexisting behavior. The study also explores the generation of multi-scroll attractors by varying the level of the pulse function introduced to electromagnetic induction. The findings contribute to our understanding of discrete fractional memristors and shed light on the dynamical behavior of neurons and their electrical activity in the brain.
Article
Computer Science, Artificial Intelligence
Fuqiang Wu, Hao Meng, Jun Ma
Summary: Employing electronic components such as memristor and Josephson junction to imitate biological neurons and synapses has been a popular research topic in recent years. This paper revisits a previous work on memristive Josephson junction and proposes a new model called inductive memristive Josephson junction (L-MJJ) by adding an inductor with internal resistor. The L-MJJ model can reproduce the square-wave bursting behavior of classical neuronal models and achieve bursting synchronization similar to nonlinear coupling neurons. This research aims to build a bridge between superconducting physics and theoretical neuroscience, and demonstrates the potential feasibility of using this junction in designing neuron-inspired computations for larger-scale neuromorphic networks.
Article
Mathematics, Applied
Jun Ma
Summary: Continuous dynamical systems with different nonlinear terms can exhibit rich dynamical characteristics. In this study, reliable algorithms for discretization and equivalent maps are proposed to reproduce similar dynamics as the nonlinear oscillators. The application of scale transformation helps convert maps into equivalent nonlinear oscillators and define energy function. Additionally, a generic memristive term is introduced into the map, which can be used to develop memristive oscillators and clarify the energy function and oscillatory characteristics.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
