A5100450033- stochastic dynamics and bifurcation
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Chaos control and synchronization
- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
- Arctic and Antarctic ice dynamics
- Quantum chaos and dynamical systems
- Chaos-based Image/Signal Encryption
- Cryospheric studies and observations
- Lightning and Electromagnetic Phenomena
- High-Voltage Power Transmission Systems
- Climate change and permafrost
- Irrigation Practices and Water Management
- Neuroscience and Neural Engineering
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
- Cellular Automata and Applications
- High voltage insulation and dielectric phenomena
- Advanced Sensor and Control Systems
- Radio Frequency Integrated Circuit Design
- Fractional Differential Equations Solutions
- Power Systems and Technologies
- Advanced Computational Techniques and Applications
- Complex Network Analysis Techniques
Xiangtan University
2016-2025
Tarim University
2023-2024
Xinjiang Production and Construction Corps
2023-2024
Lanzhou Jiaotong University
2024
China Academy of Engineering Physics
2024
Dalian University of Technology
2012-2023
Northwest A&F University
2017-2023
Xinjiang Industry Technical College
2023
Nanchang Hangkong University
2022-2023
Inner Mongolia Medical University
2023
In order to enrich the dynamic behaviors of discrete neuron models and more effectively mimic biological neural networks, this paper proposes a bistable locally active memristor (LADM) model synapses. We explored networks by introducing LADM into two identical Rulkov neurons. Based on numerical simulation, network manifested multistability new firing under different system parameters initial values. addition, phase synchronization between neurons was explored. Additionally, it is worth...
Continuous memristors have been widely studied in recent years; however, there are few studies on discrete the field of neural networks. In this paper, a four-stable locally active memristor (LADM) is proposed as synapse, which used to connect two-dimensional Chialvo neuron and three-dimensional KTZ neuron, construct simple heterogeneous network (HDNN). Through bifurcation diagram Lyapunov exponents diagram, period chaotic regions model shown. numerical analysis, it was found that region...
At present, many neuron models have been proposed, which can be divided into discrete and continuous models. Discrete the advantage of faster simulation speed ease understanding complex dynamic phenomena. Due to properties memorability, nonvolatility, local activity, locally active memristors (LADMs) are also suitable for simulating synapses. In this paper, we use an LADM mimic synapses establish a Rulkov neural network model. It is found that change coupling strength initial state leads...
This paper investigates two surface electromyogram (sEMG)-based control strategies developed for a power-assist exoskeleton arm. Different from most of the existing position approaches, this develops force methods to make robot behave like humans in order provide better assistance. The is directly attached user's body and activated by sEMG signals muscles, which reflect motion intention. In first proposed method, forces agonist antagonist muscles pair are estimated, their difference used...
By using a simple state feedback controller in three-dimensional chaotic system, novel 4D system is derived this paper. The equations are composed of nine terms including only one constant term. Depending on the different values term, new proposed has line equilibrium points or no points. Compared with other similar systems, newly presented owns more abundant and complicated dynamic properties. What interests us observation that if value term nonzero, it equilibria, therefore, Shil'nikov...
Synaptic crosstalk, which occurs due to the overflow of neurotransmitters between neighboring synapses, holds a crucial position in shaping discharge characteristics and signal transmission within nervous systems. In this work, two memristors are employed simulate biological neural synapses bidirectionally coupled Chialvo discrete neuron Rulkov neuron. Thus, heterogeneous network with memristor-synapse coupling is constructed, crosstalk behavior memristor state taken into account. The...
Continuous-time memristors have been used in numerous chaotic circuit systems. Similarly, the discrete memristor model applied to a map is also worthy of further study. To this end, paper first proposes and analyzes voltage-current characteristics memristor. Also, coupled with one-dimensional (1D) sine through different coupling frameworks, two two-dimensional (2D) models are generated. Due presence linear fixed points, stability 2D memristor-coupled depends on choice control parameters...
Abstract The Populus pruinosa is a relic plant that has managed to survive in extremely harsh desert environments. Owing intensifying global warming and desertification, research into ecological adaptation speciation of P. attracted considerable interest, but the lack chromosome-scale genome limited adaptive evolution research. Here, 521.09 Mb chromosome-level reference was reported. Genome comparative genomic analysis revealed tandemly duplicated genes expanded gene families contributed...