Article
Engineering, Mechanical
Dong Yu, Lijian Yang, Xuan Zhan, Ziying Fu, Ya Jia
Summary: In this work, a new method for designing logic circuits by mapping the output of a stochastic Hodgkin-Huxley neuron system to logic gate operations is reported. Logical stochastic resonance is achieved and low energy consumption is observed, indicating that HH neurons are excellent building blocks for logic circuits. The mechanisms underlying these findings are interpreted using bifurcation and phase plane diagrams. A neuronal network is constructed to improve the reliability of logic gates, where synaptic currents modulate the performance by regulating the switching time between steady states. Possible schemes for enhancing the reliability of logic gates are also discussed.
NONLINEAR DYNAMICS
(2023)
Article
Physics, Applied
Peiming Shi, Yuchang Wang, Wenyue Zhang, Mengdi Li, Tao Song
Summary: This paper investigates the phenomenon of stochastic resonance in Hodgkin-Huxley (H-H) neurons by introducing three types of noises into the neuron's input. The results show that adding an appropriate intensity of noise can enhance the neuron's response to the original signal, and the mutual information rate (MIR) between the output and input of the neuron exhibits a unimodal property. Moreover, the neurons exhibit frequency selectivity and different transmission performance for different amplitude of input signals.
MODERN PHYSICS LETTERS B
(2022)
Article
Physics, Multidisciplinary
Haiyou Deng, Rong Gui, Yuangen Yao
Summary: Logical resonance has been demonstrated in the HH neuron and can be influenced by temperature. These findings provide insights for constructing energy-efficient neuron-based logical devices.
Article
Geochemistry & Geophysics
Bingbing Dan, Meihui Li, Tao Tang, Xiaoping Qi, Zijian Zhu, Yimin Ouyang
Summary: This letter proposes a novel spatial-temporal SR (STSR) model for dim-small target detection, which proves to be superior in low LSNR situations. The model enhances the target salience with the help of SR and improves LSNR through temporal accumulation of photons. The addition of Poisson distribution prior and total variation regularization helps remove false alarm points and preserve the role of noise. Experimental results show the superiority of the proposed model.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Physics, Multidisciplinary
S. T. Chui, Zhifang Lin, Zian Ji
Summary: We demonstrate the concept of resonance in noise through the example of current induced by an external electromagnetic field and noise current in split ring resonators. Both the signal and noise show resonances at the same frequencies, but their ratio varies with frequency and external driving field. This unexpected result suggests that the signal to noise ratio is not solely determined by the resonance frequency, highlighting the need for further research to improve device design.
Article
Mathematics, Interdisciplinary Applications
Li-Na Mi, Yong-Feng Guo, Meng Zhang, Xiao-Jing Zhuo
Summary: The impacts of noise parameters and input signal parameters on stochastic resonance are investigated in a gene transcriptional regulatory model. It is found that Gaussian noise intensity can cause stochastic resonance, while Levy noise intensity can cause both stochastic resonance and inverse stochastic resonance. Adjusting the noise parameters can achieve optimal stochastic resonance and acquire useful genetic information.
CHAOS SOLITONS & FRACTALS
(2023)
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
Mathematics, Interdisciplinary Applications
Mengdi Li, Peiming Shi, Wenyue Zhang, Dongying Han
Summary: This study proposes an under damped continuous unsaturation bistable stochastic resonance (UCUBSR) system to address the saturation issue in classical bistable stochastic resonance (CBSR) system. The introduction of amplitude gain as a modified unsaturation index is effective in quantifying stochastic resonance and analyzing system performance. The simulation and experimental results demonstrate that a larger amplitude gain indicates better performance in weak fault detection and parameter adjustment, enhancing fault signature identification.
CHAOS SOLITONS & FRACTALS
(2021)
Review
Acoustics
Jianpeng Ding, Youming Lei
Summary: We propose a new method to enhance stochastic resonance based on reinforcement learning. By introducing a moving signal-to-noise ratio, the method can improve the performance of stochastic resonance. We use double Q-tables to overcome the challenge of delayed rewards and improve the stability and convergence of the algorithm. The effectiveness of the method is demonstrated using the Fitzhugh-Nagumo and Hindmarsh-Rose models.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Physics, Multidisciplinary
Huamei Yang, Yuangen Yao
Summary: We discovered noise-free logical stochastic resonance in the Hodgkin-Huxley (HH) model of neuron. Logical stochastic resonance (LSR) is a variant of the well-known stochastic resonance (SR) in logical areas, and has gained increasing attention for its potential applications in energy-efficient logical devices. In this study, we explored the extension of previous findings on the FitzHugh-Nagumo (FHN) neuron to the more biologically realistic HH neuron, and investigated the effects of phase fluctuation. Numerical simulations showed that the success probability P exhibited resonant behaviors by altering the amplitude and frequency of the modulating periodic force. Additionally, increasing phase fluctuation and frequency of the modulating aperiodic force led to double logical resonance in the HH neuron.
PRAMANA-JOURNAL OF PHYSICS
(2023)
Article
Multidisciplinary Sciences
Veli Baysal, Erdem Erkan, Ergin Yilmaz
Summary: Chaotic resonance (CR), induced by an intermediate level of chaotic signal intensity in neuronal systems, is significantly increased by autapse regardless of its type. Multiple CR emerges at the optimal chaotic current intensity depending on autaptic time delay, and excitatory autapses prominently increase the prorogation of pacemaker activity in small-world neuronal networks.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Mathematics, Applied
Dong Yu, Guowei Wang, Tianyu Li, Qianming Ding, Ya Jia
Summary: This paper investigates the frequency selection and filtering properties of neurons in response to band-pass filtered signals. It is found that the filtering property of neurons depends on the locking relationship between the signal frequency and the neuronal natural frequency. Neurons respond better to low-frequency signals due to the reduction in the amplitude of harmonic components. Additionally, the filtering ability of neurons can be modulated by the excitation level.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Automation & Control Systems
Xiaolong Zeng, Xin Lu, Zhiwen Liu, Yulin Jin
Summary: This study proposes an adaptive fractional stochastic resonance (SR) method based on weighted correctional signal-to-noise ratio (WCSNR) to enhance the weak fault feature of wind turbines. By constructing the WCSNR evaluation index and applying the fractional-order theory, the method adaptively obtains optimal parameters and overcomes the limitations of integer-order SR in enhancing fault features.
Article
Chemistry, Multidisciplinary
Hongjiang Cui, Ying Guan, Huayue Chen, Wu Deng
Summary: An advanced Coupled Multi-Stable Stochastic Resonance (CMSR) method is proposed in this paper to detect motor bearing faults effectively. The effects of system parameters and coupling coefficients on the output signal-to-noise ratio are analyzed in-depth through numerical simulation, and a seeker optimization algorithm is used to adaptively optimize the SR system parameters. Lastly, the effectiveness of the CMSR method is validated using actual vibration data.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Jinbo Huang, Zhen Zheng, Yu Zhou, Yuran Tan, Chengjun Wang, Guangbo Xu, Bingting Zha
Summary: A new compound tri-stable stochastic resonance model is proposed in this paper, which improves the performance of weak signal detection by optimizing system parameters. Experimental results show that the detection probability of this model approaches 80%, and it also retains information about relative motion.
Article
Engineering, Multidisciplinary
Liang XiaoMing, Liu ZongHua
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2016)
Article
Multidisciplinary Sciences
Changgui Gu, Xiaoming Liang, Huijie Yang, Jos H. T. Rohling
SCIENTIFIC REPORTS
(2016)
Article
Computer Science, Artificial Intelligence
Xiaoming Liang, Liang Zhao
Article
Nanoscience & Nanotechnology
Xiaoming Liang
Article
Physics, Multidisciplinary
Yang Ge, Xiao-Ming Liang
COMMUNICATIONS IN THEORETICAL PHYSICS
(2020)
Article
Mathematics, Applied
Xiaoming Liang, Xiyun Zhang, Liang Zhao
Article
Engineering, Mechanical
Cong Liu, Xiyun Zhang, Xiaoming Liang
NONLINEAR DYNAMICS
(2020)
Article
Computer Science, Interdisciplinary Applications
Xiuxiu Kang, Huimei Xu, Yingchen Jiang, Xiaoming Liang, Xiyun Zhang
Summary: Positive and negative couplings play complementary roles in the signal amplification of coupled bistable oscillators. The weight ratio of positive and negative couplings can significantly optimize the system's response to a subthreshold signal compared to uniform couplings.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2023)
Article
Physics, Multidisciplinary
Xiaoming Liang, Chao Fang, Xiyun Zhang, Huaping Lue
Summary: The three-node feedforward motif is found to act as a weak signal amplifier. By changing the motif's unidirectional couplings to bidirectional couplings, a small asymmetric coupling can lead to double resonant signal response. The analytical description of the double resonance matches the numerical findings.
Article
Physics, Fluids & Plasmas
Xiaoming Liang, Lei Hua, Xiyun Zhang, Liang Zhao
Summary: This study shows that a resonant response to a weak signal, similar to scale-free networks, can be observed when the coupling distance of all-to-all networks is reduced from global to local. The resonant effect induced by ring topology is found to be robust across a wide range of ring sizes and signal frequencies. It is further shown that oscillators in the rings can form separate synchronous clusters that compete with each other, resulting in resonant signal amplification.
Article
Physics, Fluids & Plasmas
Xiaoming Liang, Xiyun Zhang
Summary: The study finds that for signals with significant phase disorder, networks exhibit enhanced response at intermediate coupling strength, mainly dependent on signal intensity and capable of suppressing synchronization of units, leading to resonancelike response. This phenomenon is robust to unit bistability, initial phase distribution, and signal waveform, demonstrating the potential benefit of phase disorder on signal amplification in complex systems.
Article
Physics, Fluids & Plasmas
Xiaoming Liang, Cong Liu, Xiyun Zhang
Article
Physics, Fluids & Plasmas
Cong Liu, Xiaoming Liang
Article
Physics, Multidisciplinary
Wan-Xiang Ding, Chang-Gui Gu, Xiao-Ming Liang
COMMUNICATIONS IN THEORETICAL PHYSICS
(2016)
Article
Physics, Fluids & Plasmas
Changgui Gu, Jos H. T. Rohling, Xiaoming Liang, Huijie Yang
