A5100357282- stochastic dynamics and bifurcation
- Neural dynamics and brain function
- Nonlinear Dynamics and Pattern Formation
- Chaos control and synchronization
- Advanced Memory and Neural Computing
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- RNA modifications and cancer
- Quantum chaos and dynamical systems
- Cancer-related molecular mechanisms research
- Neural Networks Stability and Synchronization
- Neural Networks and Applications
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Autonomous Vehicle Technology and Safety
- Head and Neck Cancer Studies
- Recommender Systems and Techniques
- Advancements in Battery Materials
- Stochastic processes and financial applications
- Cancer-related gene regulation
- Space Satellite Systems and Control
- Chaos-based Image/Signal Encryption
- Traffic control and management
- Lung Cancer Research Studies
- Topic Modeling
Lanzhou University of Technology
2016-2025
Chongqing University of Posts and Telecommunications
2016-2025
Soonchunhyang University
2019-2025
Xinjiang Academy of Agricultural Sciences
2023-2025
University of Toronto
2025
University of Illinois Chicago
2023-2025
Southern Medical University
2023-2025
Nanfang Hospital
2023-2025
University of Science and Technology of China
2003-2024
Tianjin Medical University
2022-2024
The magnetic induction effects have been emulated by various continuous memristive models but they not successfully described a discrete model yet. To address this issue, article first constructs memristor and then presents Rulkov (m-Rulkov) neuron model. bifurcation routes of the m-Rulkov are declared detecting eigenvalue loci. Using numerical measures, we investigate complex dynamics shown in model, including regime transition behaviors, transient chaotic bursting regimes, hyperchaotic...
Our strategy of polymerizing lithium salt as a polymer electrolyte (3D-SIPE-LiFPA) simultaneously enhances the cycle life and safety characteristics ultrahigh-energy-density metal batteries (437 W h kg −1 ).
Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection weight. To demonstrate its kinetic effects, in this article, we present improved Hopfield neural network two memristive self-connection weights. The two-memristor-based (TM-HNN) has a plane equilibrium set related to two-memristor initial conditions and stability distributions are analyzed by nonzero roots of the eigenvalue polynomial. Afterward, parameter-related bifurcation behaviors investigated...
Connecting memristors into any neural circuit can enhance its potential controllability under external physical stimuli. Memristive current along a magnetic flux-controlled memristor estimate the effect of electromagnetic induction on circuits and neurons. Here, charge-controlled is incorporated one branch simple to an electric field. The field energy kept in each component respectively calculated, equivalent dimensionless function H obtained discern firing mode dependence from capacitive,...
Abstract Nonlinear circuits can show multistability when a magnetic flux-dependent memristor (MFDM) or charge-sensitive (CSM) is incorporated into one branch circuit, which helps estimate electric field effects. In this paper, two different kinds of memristors are composed capacitor and nonlinear resistor, thus memristive circuit with double channels designed. The equations presented, the dynamics in oscillator terms discussed. Then, converted map by applying linear transformation on sampled...