Results 41 to 50 of about 438 (172)
Global exponential convergence of delayed inertial Cohen–Grossberg neural networks
Nonlinear Analysis, 2023 In this paper, the exponential convergence of delayed inertial Cohen–Grossberg neural networks (CGNNs) is studied. Two methods are adopted to discuss the inertial CGNNs, one is expressed as two first-order differential equations by selecting a variable ...
Yanqiu Wu +4 more
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Exponential Stability of Cohen-Grossberg Neural Networks with Impulse Time Window
Discrete Dynamics in Nature and Society, 2016 This paper concerns the problem of exponential stability for a class of Cohen-Grossberg neural networks with impulse time window and time-varying delays.
Mei Liu, Haijun Jiang, Cheng Hu
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Engineering Reports, Volume 8, Issue 1, January 2026.This work tackles the unresolved stability problem of heterogeneous quaternion‐valued BAM neural networks plagued by unknown parameters, time‐varying delays, and impulses. By synergizing Lyapunov theory with inequality techniques, we establish rigorous, yet practical, global stability conditions.
Xi Long, Yaqin Li
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The Journal of Physiology, Volume 604, Issue 1, Page 503-526, 1 January 2026.Abstract figure legend Differential behavioural and network effects of transcranial magnetic stimulation applied to the early visual areas compared to the motion‐sensitive medio‐temporal cortex. EVA, early visual areas; MT, medio‐temporal cortex; TMS, transcranial magnetic stimulation.
Estelle Raffin +6 more
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Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network [PDF]
International Journal of Computational Intelligence Systems, 2010 In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises.
Guanjun Wang, Jinling Liang
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Periodic Solutions to a Ring of Identical Cells With Delay via the Equivariant Degree Method
International Journal of Differential Equations, Volume 2026, Issue 1, 2026.We investigate the existence and multiplicity of bifurcating solutions in a Hopfield–Cohen–Grossberg network with n identical components and time delays. Applying the equivariant degree method, we derive sufficient conditions guaranteeing periodic solutions and their multiplicities. Two examples are provided to exemplify the theoretical results.
Shi Yu, Igor Freire
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Mathematics, 2022 The synchronization problem for impulsive fractional-order Cohen–Grossberg neural networks with generalized proportional Caputo fractional derivatives with changeable lower limit at any point of impulse is studied.
Ravi Agarwal, Snezhana Hristova
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Updates and future perspectives on neuropsychiatric symptoms in Alzheimer's disease
Alzheimer's &Dementia, Volume 21, Issue 3, March 2025.Abstract Neuropsychiatric symptoms (NPS) are common throughout the Alzheimer's disease (AD) continuum and profoundly affect patients, caregivers, and health‐care systems. This review synthesizes key research presented in the 2022 and 2023 Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment Neuropsychiatric ...
Myuri Ruthirakuhan +4 more
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Mathematics, 2020 The present paper is devoted to Bidirectional Associative Memory (BAM) Cohen−Grossberg-type impulsive neural networks with time-varying delays.
Gani Stamov +3 more
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Journal of Mathematics, Volume 2025, Issue 1, 2025.This paper provides an extensive binary fractional‐order neural network system with mixed delays consisting of two discrete delays and two distributed delays and emphasizes novel bifurcation methods and theoretical analysis. First, the original system is transformed into a five‐neuron fractional‐order neural network with four delays by introducing ...
Long Li, Yanxia Zhang, Mengxin Chen
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