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  1. Top-down versus bottom-up attentional control: a failed theoretical dichotomy.Edward Awh, Artem V. Belopolsky & Jan Theeuwes - 2012 - Trends in Cognitive Sciences 16 (8):437.
    Prominent models of attentional control assert a dichotomy between top-down and bottom-up control, with the former determined by current selection goals and the latter determined by physical salience. This theoretical dichotomy, however, fails to explain a growing number of cases in which neither current goals nor physical salience can account for strong selection biases. For example, equally salient stimuli associated with reward can capture attention, even when this contradicts current selection goals. Thus, although 'top-down' sources of bias are sometimes defined (...)
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • (1 other version)Tracking multiple independent targets: Evidence for a parallel tracking mechanism.Zenon Pylyshyn - manuscript
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  • Gorillas in our midst: Sustained inattentional blindness for dynamic events.Daniel J. Simons & Christopher F. Chabris - 1999 - Perception 28 (9):1059-1074.
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  • A feature integration theory of attention.Anne Treisman - 1980 - Cognitive Psychology 12:97-136.
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  • A boost and bounce theory of temporal attention.Christian N. L. Olivers & Martijn Meeter - 2008 - Psychological Review 115 (4):836-863.
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  • (1 other version)A theory of visual attention.Claus Bundesen - 1990 - Psychological Review 97 (4):523-547.
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  • You can't play 20 questions with nature and win: Projective comments on the papers of this symposium.Allen Newell - 1973 - Computer Science Department.
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  • Neural mechanisms of selective visual attention.R. Desimone & J. Duncan - 1995 - Annual Review of Neuroscience 18 (1):193-222.
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  • The neglected contribution of memory encoding in spatial cueing: A new theory of costs and benefits.Hui Chen & Brad Wyble - 2018 - Psychological Review 125 (6):936-968.
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  • Orienting of attention.M. I. Posner - 1980 - Quarterly Journal of Experimental Psychology 32 (1):3-25.
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  • A theory of eye movements during target acquisition.Gregory J. Zelinsky - 2008 - Psychological Review 115 (4):787-835.
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  • The Algorithmic Level Is the Bridge Between Computation and Brain.Bradley C. Love - 2015 - Topics in Cognitive Science 7 (2):230-242.
    Every scientist chooses a preferred level of analysis and this choice shapes the research program, even determining what counts as evidence. This contribution revisits Marr's three levels of analysis and evaluates the prospect of making progress at each individual level. After reviewing limitations of theorizing within a level, two strategies for integration across levels are considered. One is top–down in that it attempts to build a bridge from the computational to algorithmic level. Limitations of this approach include insufficient theoretical constraint (...)
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  • The brain circuitry of attention.Stewart Shipp - 2004 - Trends in Cognitive Sciences 8 (5):223-230.
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  • (2 other versions)Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention.Eirini Mavritsaki, Dietmar Heinke, Harriet Allen, Gustavo Deco & Glyn W. Humphreys - 2011 - Psychological Review 118 (1):3-41.
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  • Theory of attentional operations in shape identification.David LaBerge & Vincent Brown - 1989 - Psychological Review 96 (1):101-124.
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  • The binding problem.Anne Treisman - 1996 - Current Opinion in Neurobiology 6:171-8.
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  • Global effects of feature-based attention in human visual cortex.M. Saenz, G. T. Buracas & G. M. Boynton - 2002 - Nature Neuroscience 5 (7):631-632.
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  • The simultaneous type, serial token model of temporal attention and working memory.Howard Bowman & Brad Wyble - 2007 - Psychological Review 114 (1):38-70.
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  • A Robotics-Based Approach to Modeling of Choice Reaching Experiments on Visual Attention.Soeren Strauss & Dietmar Heinke - 2012 - Frontiers in Psychology 3.
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  • Attention, spatial representation, and visual neglect: Simulating emergent attention and spatial memory in the selective attention for identification model (SAIM).Dietmar Heinke & Glyn W. Humphreys - 2003 - Psychological Review 110 (1):29-87.
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