Exponential Stability of Periodic Solutions for Inertial Type BAM Cohen-Grossberg Neural Networks
Abstract and Applied Analysis, 2014 The existence and exponential stability of periodic solutions for inertial type BAM Cohen-Grossberg neural networks are investigated. First, by properly choosing variable substitution, the system is transformed to first order differential equation ...
Chunfang Miao, Yunquan Ke
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Synchronized Oscillations During Cooperative Feature Lining in a Cortical Model of Visual Perception [PDF]
, 1991 A neural network model of synchronized oscillations in visual cortex is presented to account for recent neurophysiological findings that such synchronization may reflect global properties of the stimulus.
Grossberg, Stephen, Somers, David
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The What-And-Where Filter: A Spatial Mapping Neural Network for Object Recognition and Image Understanding [PDF]
, 1996 The What-and-Where filter forms part of a neural network architecture for spatial mapping, object recognition, and image understanding. The Where fllter responds to an image figure that has been separated from its background.
Carpenter, Gail A. +2 more
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Cortical Synchronization and Perceptual Framing [PDF]
, 1994 How does the brain group together different parts of an object into a coherent visual object representation? Different parts of an object may be processed by the brain at different rates and may thus become desynchronized. Perceptual framing is a process
Grossberg, Stephen, Gruenwald, Alexander
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Cohen-Grossberg neural networks with unpredictable and Poisson stable dynamics
Chaos, Solitons & FractalsIn this paper, Cohen-Grossberg neural networks with unpredictable and compartmental periodic unpredictable strengths of connectivity between cells and inputs are investigated. To approve Poisson stability and unpredictability in neural networks, the method of included intervals and contraction mapping principle are used.
Marat Akhmet +2 more
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Cortical Learning of Recognition Categories: A Resolution of the Exemplar Vs. Prototype Debate [PDF]
, 2009 Do humans and animals learn exemplars or prototypes when they categorize objects and events in the world? How are different degrees of abstraction realized through learning by neurons in inferotemporal and prefrontal cortex?
Amis, Gregory P. +3 more
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A Neural Network Model of Auditory Scene Anaysis and Source Segregation [PDF]
, 1994 In environments with multiple sound sources, the auditory system is capable of teasing apart the impinging jumbled signal into different mental objects, or streams, as in its ability to solve the cocktail party problem. A neural network model of auditory
Cohen, Michael +3 more
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How children learn to understand language meanings: a neural model of adult-child multimodal interactions in real-time. [PDF]
Front Psychol, 2023 Grossberg S.
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ARSTREAM: A Neural Network Model of Auditory Scene Analysis and Source Segregation [PDF]
, 1997 Multiple sound sources often contain harmonics that overlap and may be degraded by environmental noise. The auditory system is capable of teasing apart these sources into distinct mental objects, or streams.
Grossberg, Stephen +3 more
core
Fractal and FractionalThis paper addresses the stabilization problem for a class of fractional-order memristive reaction–diffusion Cohen–Grossberg neural networks with time-varying delays under an intermittent boundary control framework.
Muniyappan Madhu +3 more
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