Results 11 to 20 of about 388 (131)
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.
Neyir Ozcan
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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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Stability Analysis of Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2022 By improving a previously introduced Lyapunov functional,this paper addressed the stability issue about neutral-type Cohen-Grossberg neural networks with multiple time-varying delays in the states of neurons and the time derivative of states of neurons ...
Binbin Gan, Biao Xu, Hao Chen
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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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Mathematics, 2023 This article is concerned with fixed-time synchronization and preassigned-time synchronization of Cohen–Grossberg quaternion-valued neural networks with discontinuous activation functions and generalized time-varying delays.
Shichao Jia, Cheng Hu, Haijun Jiang
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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 Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2020 This paper deals with the problem for stability of neutral-type Cohen-Grossberg neural networks involving delay parameters. In the neutral-type neural networks, the states of the neurons involve multiple time-varying delays and time derivative of states ...
Li Wan, Qinghua Zhou
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