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Dream imagery utilizes the same underlying systems of neural processing that are utilized in waking visual sensory perception, but during dreaming the representational imagery system has cognitive prominence.
Our abstract setting is not limited to applications in systems of neural networks; we illustrate its use in an equation with distributed delay motivated by biological models.
In this work, I test the hypotheses that (1) sequential systems of neural networks produce results that are more accurate (in terms of calibration and resolution) than nonsequential neural networks; and (2) in certain circumstances, sequential neural networks produce more accurate estimates of survival time than Cox proportional hazards and logistic regression models.
Halanay-type inequalities, whether continuous or discrete, have been widely applied to obtain the global exponential (asymptotical) stability of the equilibria of dynamical systems with several delays, especially dynamical systems of neural networks.
The developing brain is capable of reorganizing the patterns and systems of neural connections (Sur and Leamey, 2002), and it is possible that the variability of findings in this research area may be related to neurological differences between those with transient and those with persisting language impairment.
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Among highly evolved animals, transfer of training between limbs from opposite sides of the body evidently is mediated through a massive system of neural fibres, known as the corpus callosum, that connects the two hemispheres of the brain.
Thus, a suitably designed system of neural networks provides rapid on-line estimations and improves bioreactor performance under conditions simulating industrial fermentation.
Whereas most previous studies have used single residue hydrophobicity plots for characterizing of these domains, PHDhtm utilizes a system of neural networks and the evolutionary information contained in multiple alignments of related sequences to predict the above.
The stability of a system of neural networks connected to a ring has been studied extensively throughout recent years.
Their system of neural networks quickly makes a best guess at the missing details and patterns in a scene, without magnifying the image's flaws.
Emma AI looks to outpace day traders by analyzing a complex set of factors using a system of neural nets, which emulate elements of the human cognitive process by "learning" patterns in more data than could ever possibly be handled by humans.
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