A5029822464- Advanced Memory and Neural Computing
- Neural Networks Stability and Synchronization
- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Neural Networks and Applications
- Chaos control and synchronization
- Nonlinear Dynamics and Pattern Formation
- Neural dynamics and brain function
- stochastic dynamics and bifurcation
- Quantum-Dot Cellular Automata
- CCD and CMOS Imaging Sensors
- Neuroscience and Neural Engineering
- Molecular Communication and Nanonetworks
- Radiomics and Machine Learning in Medical Imaging
- Esophageal Cancer Research and Treatment
- DNA and Nucleic Acid Chemistry
- Interactive and Immersive Displays
- Pancreatic and Hepatic Oncology Research
- Cancer, Hypoxia, and Metabolism
- Quantum chaos and dynamical systems
- Tactile and Sensory Interactions
- Cancer Research and Treatments
- Chaos-based Image/Signal Encryption
- Augmented Reality Applications
- Neural Networks and Reservoir Computing
Zhengzhou University of Light Industry
2016-2025
Fuzhou University
2025
Qingdao University
2022-2025
Anhui Polytechnic University
2016-2024
China-Japan Friendship Hospital
2024
Peking University
2005-2024
National Clinical Research
2022-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2024
Doheny Eye Institute
2023-2024
Yunnan Agricultural University
2022-2024
In this paper, a novel kind of compound synchronization among four chaotic systems is investigated, where the drive have been conceptually divided into two categories: scaling and base systems. Firstly, sufficient condition obtained to ensure memristor oscillator based on adaptive technique. Secondly, secure communication scheme via presented. The corresponding theoretical proofs numerical simulations are given demonstrate validity feasibility proposed control unpredictability can...
Most memristor-based Pavlov associative memory neural networks strictly require that only simultaneous food and ring appear to generate memory. In this article, the time delay is considered, in order form when stimulus lags behind for a certain period of time. addition, rate learning can be changed with length between stimulus. A memristive network circuit realize designed verified by simulation results. The consists synapse module, voltage control time-delay module. functions, such as...
Most of the classical conditioning laws implemented by existing circuits are involved in learning and forgetting between only three neurons, problems multiple neurons not considered. In this article, a multimode generalization differentiation circuit for Pavlov associative memory is proposed based on memristors. The designed mainly composed voltage control modules, synaptic neuron inhibition modules. secondary accomplished through process among neurons. realized nonvolatility thresholding...
The 1-D and 2-D emotion models realized by hardware circuits have been studied. However, 3-D emotional model which is most suitable for human has not considered. In this article, a bionic circuit of space proposed, can generate brain-like emotions according to the information visual, speech, text. designed memristor are based on brain theory limbic system, including thalamus, sensory cortex, orbitofrontal cingulate gyrus, amygdala, other modules. Moreover, perceptual rational in also article...
With the continuous development of computers, communication technology, and regional medical collaboration services, security confidentiality information are becoming more important. In order to prevent illegal leakage sensitive patient information, it is great significance study image encryption. this article, a flux-controlled hyperbolic memristor model with locally active characteristics proposed, which has rich nonlinear characteristics. The parameters affect local activity memristor,...
Most memristor-based neural network circuits consider only a single pattern of overshadowing or emotion, but the relationship between and emotion is ignored. In this article, circuit associative memory with congruent effect designed, under multiple emotions taken into account. The designed mainly consists an module, inhibition feedback module. generation recovery different are realized by functions from achieved module Finally, blocking caused long-term implemented proposed can be applied to...
Operant conditioning is an important learning mechanism for organisms, as well a basic theory reinforcement in artificial intelligence. Although there are already some memristive neural circuits operant conditioning, they can only process single stimulus and cannot handle multiple inputs simultaneously. This article proposes multi-input network that incorporates blocking competing effects. achieve the overshadowing effects presence of learn efficiently complex environments. In addition, it...
Abstract Medical images contain patients' private health information, which is crucial to protect their security. Chaotic systems are frequently used in medical image encryption owing advantages, including unpredictability and sensitivity initial conditions. However, existing low-dimensional, small-scroll chaotic exhibit limitations, leading poor security of relevant schemes due insufficient complexity randomness. To tackle these issues, a novel 6-scroll Jerk hyperchaotic system (6-SJHS)...
Most memristor-based neural networks only consider a single mode of memory or emotion, but ignore the relationship between emotion and memory. In this paper, network circuit congruent is proposed verified by simulation results. The designed consists module, an module association neuron module. Varieties functions are considered. such as learning, forgetting, variable rate generation implemented circuit. Furthermore, mental fatigue inhibition which two important self-protective measures brain...
Most operant conditioning circuits predominantly focus on simple feedback process, few studies consider the intricacies of outcomes and uncertainty time. This paper proposes a neuromorphic circuit based with addictiveness time memory for automatic learning. The is mainly composed hunger output module, neuron excitement memristor-based decision generation module. In circuit, process addiction in stochastic achieved. interval between two rewards formed. can adapt to complex scenarios these...
An artificial microbial community consisted of Ketogulonicigenium vulgare and Bacillus megaterium has been used in industry to produce 2-keto-gulonic acid (2-KGA), the precursor vitamin C. During mix culture fermentation process, sporulation cell lysis B. can be observed. In order investigate how these phenomena correlate with 2-KGA production, explore two species interact each other during an integrated time-series proteomic metabolomic analysis was applied system. The study quantitatively...