Results 11 to 20 of about 4,331 (178)
Retracted: The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms. [PDF]
Comput Intell Neurosci, 2023 Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023.
Intelligence And Neuroscience C.
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The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.
Comput Intell Neurosci, 2022 The exponential synchronization (ES) of Cohen–Grossberg stochastic neural networks with inertial terms (CGSNNIs) is studied in this paper. It is investigated in two ways. The first way is using variable substitution to transform the system to another one and then based on the properties of it∧o integral, differential operator, and the second Lyapunov ...
Li ZY, Jiang WD, Zhang YH.
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Visual illusion susceptibility in autism: A neural model. [PDF]
Eur J Neurosci, 2022 Individuals with autism perceive the external world, including visual scenes, differently. To better understand potential brain changes in autism, we developed a neural model that can mimic our brain's visual system and showed that people with autism are less susceptible to some visual illusions, because of potential changes in brain wiring.
Park S, Zikopoulos B, Yazdanbakhsh A.
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Lag Synchronization of Noisy and Nonnoisy Multiple Neurobiological Coupled FitzHugh-Nagumo Networks with and without Delayed Coupling. [PDF]
Comput Intell Neurosci, 2022 This paper presents a methodology for synchronizing noisy and nonnoisy multiple coupled neurobiological FitzHugh–Nagumo (FHN) drive and slave neural networks with and without delayed coupling, under external electrical stimulation (EES), external disturbance, and variable parameters for each state of both FHN networks.
Ibrahim MM +6 more
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Mental Time Travel: A Retrospective. [PDF]
HippocampusABSTRACT Because imagination activates the same neural circuits used in understanding the present, one can access that imagination even in non‐linguistic animals through decoding techniques applied to large neural ensembles. This personal retrospective traces the history of the initial discovery that hippocampal theta sequences sweep forward to goals ...
Redish AD.
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Discrete Dynamics in Nature and Society, Volume 2023, Issue 1, 2023., 2023 In this paper, the settling time estimation of synchronization issues for inertial memristive neural networks (IMNNs) with mixed time‐varying delays is investigated. First, by using a new reduced order approach and introducing free‐weighted coefficients ηi and ξi into variable transformation, the original second‐order derivative system is transformed ...
Tiecheng Zhang, Dasong Huang, Ya Jia
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Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument
Discrete Dynamics in Nature and Society, Volume 2023, Issue 1, 2023., 2023 This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium point are obtained; using inequality technique and Lyapunov method, sufficient stability criteria for ...
Wenqing Zheng +3 more
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Treating the most vulnerable: A discursive review of experimental pain in Alzheimer’s disease
Nursing Open, Volume 9, Issue 2, Page 942-949, March 2022., 2022 Abstract Aim The purpose of this manuscript is to summarize research on how experimental pain is experienced by adults with Alzheimer's disease (AD) and to translate results into implications for nurses. Design This discursive review synthesizes the results of three previous research studies exploring experimental pain in adults with AD.
Wm. Larkin Iversen +9 more
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Volleyball Movement Object Detection and Behavior Recognition Method of Artificial Neural Network
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 Movement object detection method is the basis and key of the modem intelligent video surveillance system. It combines advanced technologies in many fields, such as artificial intelligence, image processing, and pattern recognition, and is the research area of computer vision technology.
Zhe Sun, Hongzhi Zhang, Muhammad Zakarya
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Advances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022 This paper discussed the finite‐time synchronization of fractional‐order complex‐valued Cohen‐Grossberg neural networks (FCVCGNNs), which contain mixed time delays and state‐dependent switching that make the model more comprehensive. Different from other methods, we use a method of nonseparating real and imaginary parts to get our conclusions.
Xiaoxia Li +5 more
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