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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Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks [PDF]
Discrete Dynamics in Nature and Society, 2016 We address the problem of stochastic attractor and boundedness of a class of switched Cohen-Grossberg neural networks (CGNN) with discrete and infinitely distributed delays.
Chuangxia Huang, Jie Cao, Peng Wang
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Exponential Synchronization of Cohen-Grossberg Neural Networks With Delays
IEEE Access, 2023 This article analyzes exponential synchronization for a class of Cohen-Grossberg neural networks with time-varying delays. Firstly, according to the concept of synchronization, a controlled response system is constructed, and the error system is obtained.
Juncao Huang, Xuemei Wu, Zhengwen Tu
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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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New conditions for stability of multiple delayed Cohen-Grossberg Neural Networks of neutral-type. [PDF]
PLoS OneIn this research article, we essentially aim to examine the stability properties of a certain type of Cohen-Grossberg neural network. The analysed neural network involves multiple delay parameters.
Ozcan N.
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Stochastic Dynamics of Nonautonomous Cohen-Grossberg Neural Networks
Abstract and Applied Analysis, 2011 This paper is devoted to the study of the stochastic stability of a class of Cohen-Grossberg neural networks, in which the interconnections and delays are time-varying.
Chuangxia Huang, Jinde Cao
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Anti-periodic solutions for a class of Cohen–Grossberg neural networks
Computers and Mathematics With Applications, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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