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  1. Neurobiology of Attention.Laurent Itti, Geraint Rees & John K. Tsotsos (eds.) - 2005 - Academic Press.
    This book presents a state-of-the-art multidisciplinary perspective on psychological, physiological and computational approaches to understanding the ...
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  • Deictic codes for the embodiment of cognition.Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook & Rajesh P. N. Rao - 1997 - Behavioral and Brain Sciences 20 (4):723-742.
    To describe phenomena that occur at different time scales, computational models of the brain must incorporate different levels of abstraction. At time scales of approximately 1/3 of a second, orienting movements of the body play a crucial role in cognition and form a useful computational level embodiment level,” the constraints of the physical system determine the nature of cognitive operations. The key synergy is that at time scales of about 1/3 of a second, the natural sequentiality of body movements can (...)
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  • (1 other version)Attention and cognitive control.Michael I. Posner & C. R. R. Snyder - 1975 - In Robert L. Solso (ed.), Information Processing and Cognition: The Loyola Symposium. Lawrence Erlbaum.
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  • Competition for consciousness among visual events: The psychophysics of reentrant visual processes.Vincent Di Lollo, James T. Enns & Ronald A. Rensink - 2000 - Journal Of Experimental Psychology-General 129 (4):481-507.
    Advances in neuroscience implicate reentrant signaling as the predominant form of communication between brain areas. This principle was used in a series of masking experiments that defy explanation by feed-forward theories. The masking occurs when a brief display of target plus mask is continued with the mask alone. Two masking processes were found: an early process affected by physical factors such as adapting luminance and a later process affected by attentional factors such as set size. This later process is called (...)
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  • Dual functions of consciousness.Tim Shallice - 1972 - Psychological Review 79 (5):383-93.
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  • Analyzing vision at the complexity level.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):423-445.
    The general problem of visual search can be shown to be computationally intractable in a formal, complexity-theoretic sense, yet visual search is extensively involved in everyday perception, and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential solutions. The (...)
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  • Criteria for the Design and Evaluation of Cognitive Architectures.Sashank Varma - 2011 - Cognitive Science 35 (7):1329-1351.
    Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive (...)
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  • Control of goal-directed and stimulus-driven attention in the brain.M. Corbetta & G. L. Shulman - 2002 - Nature Reviews Neuroscience 3 (3):201-215.
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  • Perception and Communication.Donald Eric Broadbent - 1958 - Pergamon Press.
    This book discusses principles and theories regarding perception and communication. Relevant research data is presented which support these theories. 2004 APA, all rights reserved).
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  • Visual routines.Shimon Ullman - 1984 - Cognition 18 (1-3):97-159.
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  • Modeling visual attention via selective tuning.John K. Tsotsos, Scan M. Culhane, Winky Yan Kei Wai, Yuzhong Lai, Neal Davis & Fernando Nuflo - 1995 - Artificial Intelligence 78 (1-2):507-545.
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  • A brief and selective history of attention.John K. Tsotsos, Laurent Itti & Geraint Rees - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press.
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • A Neural Theory of Visual Attention: Bridging Cognition and Neurophysiology.Claus Bundesen, Thomas Habekost & Søren Kyllingsbæk - 2005 - Psychological Review 112 (2):291-328.
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