Multiplicative processing in the modeling of cognitive activities in large neural networks. [PDF]
Biophys Rev, 2023 Valle-Lisboa JC, Pomi A, Mizraji E.
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Convergence of asymptotic systems in Cohen-Grossberg neural network models with unbounded delays
In this paper, we investigate the convergence of asymptotic systems in non-autonomous Cohen--Grossberg neural network models, which include both infinite discrete time-varying and distributed delays. We derive stability results under conditions where the
Elmwafy, A. +2 more
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The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.
Comput Intell Neurosci, 2022 Li ZY, Jiang WD, Zhang YH.
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Takagi-Sugeno bulanık Cohen-Grossberg tipi zaman gecikmeli yapay sinir ağlarında kararlılık analizi
, 2018 This paper deals with the problem of the global asymptotic stability of the class of TakagiSugeno Fuzzy Cohen-Grossberg neural networks with multiple time delays.
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Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays. [PDF]
Cogn NeurodynHuang C, Mo S, Cao J.
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Computational modeling of spatiotemporal afterimage visual perception with spiking neural networks. [PDF]
Front NeurosciByzalov I, Cohen Duwek H, Ezra Tsur E.
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Neural network models of autonomous adaptive intelligence and artificial general intelligence: how our brains learn large language models and their meanings. [PDF]
Front Syst NeurosciGrossberg S.
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Redefining cognitive neurodynamics through transdisciplinary innovation. [PDF]
Cogn NeurodynVilla AEP.
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Editorial: Spring Hippocampal Research Conference and Beyond. [PDF]
Front Mol Neurosci, 2021 Ainge JA +5 more
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Neural network modeling of psychoanalytic concepts. [PDF]
Front Syst NeurosciLevine DS +2 more
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