Electronic Journal of Differential Equations, 2005 We study the existence and exponential attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. Our results are obtained by applying the continuation theorem of coincidence degree theory and a general Halanay ...
Yongkun Li, Lifei Zhu
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LMI Approach to Stability Analysis of Cohen-Grossberg Neural Networks with p-Laplace Diffusion
Journal of Applied Mathematics, 2012 The nonlinear p-Laplace diffusion (p>1) was considered in the Cohen-Grossberg neural network (CGNN), and a new linear matrix inequalities (LMI) criterion is obtained, which ensures the equilibrium of CGNN is stochastically exponentially stable. Note that,
Xiongrui Wang +2 more
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Representations Need Self-Organizing Top-Down Expectations to Fit a Changing World [PDF]
, 1997 The author's model "Chorus embodies an attempt to find out how far a mostly bottom-up approach to representation can be taken" (p. 22). Models which embody both bottom-up and top-down learning have stronger computational properties and explain more data ...
Grossberg, Stephen
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Brain Learning, Attention, and Consciousness [PDF]
, 1999 The processes whereby our brains continue to learn about a changing world in a stable fashion throughout life are proposed to lead to conscious experiences. These processes include the learning of top-down expectations, the matching of these expectations
Grossberg, Stephen
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Neutral-Type CGNNs With Multiple Delays: A Frobenius Norm Approach to Stability
IEEE AccessFor neutral Cohen-Grossberg neural networks incorporating multiple time delays, we construct a tailored Lyapunov function to derive stability criteria independent of delay magnitudes.
Lin Wang, Binbin Gan, Hao Chen
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Working Memory Networks for Learning Temporal Order, with Application to 3-D Visual Object Recognition [PDF]
, 1991 Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely differing speeds, durations, and
Bradski, Gary +2 more
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Speaker Normalization Using Cortical Strip Maps: A Neural Model for Steady State vowel Categorization [PDF]
, 2007 Auditory signals of speech are speaker-dependent, but representations of language meaning are speaker-independent. The transformation from speaker-dependent to speaker-independent language representations enables speech to be learned and understood from ...
Ames, Heather, Grossberg, Stephen
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Distributed Hypothesis Testing, Attention Shifts and Transmitter Dynatmics During the Self-Organization of Brain Recognition Codes [PDF]
, 1991 BP (89-A-1204); Defense Advanced Research Projects Agency (90-0083); National Science Foundation (IRI-90-00530); Air Force Office of Scientific Research (90-0175, 90-0128); Army Research Office (DAAL-03-88 ...
Carpenter, Gail A., Grossberg, Stephen
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Neural Dynamics of Motion Perception: Direction Fields, Apertures, and Resonant Grouping [PDF]
, 1992 A neural network model of global motion segmentation by visual cortex is described. Called the Motion Boundary Contour System (BCS), the model clarifies how ambiguous local movements on a complex moving shape are actively reorganized into a coherent ...
Grossberg, Stephen, Mingolla, Ennio
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A Contrast- and Luminance-Driven Multiscale Netowrk Model of Brightness Perception [PDF]
, 1994 A neural network model of brightness perception is developed to account for a wide variety of data, including the classical phenomenon of Mach bands, low- and high-contrast missing fundamental, luminance staircases, and non-linear contrast effects ...
Mingolla, Ennio +2 more
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