Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks
Advances in Difference Equations, 2017 This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method.
Xianxiu Zhang +2 more
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An Integrated Neural Network-Event-Related Potentials Model of Temporal and Probability Context Effects on Event Categorization [PDF]
, 1992 We present a neural network that adapts and integrates several preexisting or new modules to categorize events in short term memory (STM), encode temporal order in working memory, evaluate timing and probability context in medium and long term memory ...
Banquet, Jean-Paul +1 more
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Convergence of Cohen-Grossberg neural networks with delays and time-varying coefficients
Electronic Journal of Differential Equations, 2008 In this paper presents sufficient conditions for all solutions of the Cohen-Grossberg neural networks with delays and time-varying coefficients to converge exponentially to zero.
Jianying Shao, Qiyuan Zhou
doaj
Cortical Models for Movement Control [PDF]
, 2000 Defense Advanced Research Projects Agency and Office of Naval Research (N0014-95-l-0409)
Bullock, Daniel
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Cortical Dynamics of Contextually-Cued Attentive Visual Learning and Search: Spatial and Object Evidence Accumulation [PDF]
, 2009 How do humans use predictive contextual information to facilitate visual search? How are consistently paired scenic objects and positions learned and used to more efficiently guide search in familiar scenes?
Grossberg, Stephen, Huang, Tsung-Ren
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Asymptotic Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays via Event-Triggered Control Scheme. [PDF]
Micromachines (Basel), 2022 Yao W, Yu F, Zhang J, Zhou L.
europepmc +1 more source
Discrete Dynamics in Nature and Society, 2013 A class of interval Cohen-Grossberg neural networks with time-varying delays and infinite distributed delays is investigated. By employing H-matrix and M-matrix theory, homeomorphism techniques, Lyapunov functional method, and linear matrix inequality ...
Yanke Du, Rui Xu
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Nonlinear Analysis, 2015 In this paper, the finite-time synchronization problem for chaotic Cohen–Grossberg neural networks with unknown parameters and time-varying delays is investigated by using finite-time stability theory.
Abdujelil Abdurahman +3 more
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Finite-/fixed-time synchronization for Cohen-Grossberg neural networks with discontinuous or continuous activations via periodically switching control. [PDF]
Cogn Neurodyn, 2022 Pu H, Pu H, Li F.
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Cortical Networks for Control of Voluntary Arm Movements Under Variable Force Conditions [PDF]
, 1995 A neural model of voluntary movement and proprioception functionally interprets and simulates cell types in movement related areas of primate cortex.
Bullock, Daniel +2 more
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