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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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  • 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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  • Neural mechanisms of selective visual attention.R. Desimone & J. Duncan - 1995 - Annual Review of Neuroscience 18 (1):193-222.
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  • Controlled and automatic human information processing: Perceptual learning, automatic attending, and a general theory.Richard M. Shiffrin & Walter Schneider - 1977 - Psychological Review 84 (2):128-90.
    Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is (...)
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  • The attention habit: how reward learning shapes attentional selection.A. Anderson, Brian - 2015 - Annals of the New York Academy of Sciences 1:24-39.
    There is growing consensus that reward plays an important role in the control of attention. Until recently, reward was thought to influence attention indirectly by modulating task-specific motivation and its effects on voluntary control over selection. Such an account was consistent with the goal-directed (endogenous) versus stimulus-driven (exogenous) framework that had long dominated the field of attention research. Now, a different perspective is emerging. Demonstrations that previously reward-associated stimuli can automatically capture attention even when physically inconspicuous and task-irrelevant challenge previously (...)
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  • Learning your way around town: How virtual taxicab drivers learn to use both layout and landmark information.Ehren L. Newman, Jeremy B. Caplan, Matthew P. Kirschen, Igor O. Korolev, Robert Sekuler & Michael J. Kahana - 2007 - Cognition 104 (2):231-253.
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  • (1 other version)Perceptual Learning Rules Based on Reinforcers and Attention.Pieter R. Roelfsema, Arjen van Ooyen & Takeo Watanabe - 2010 - Trends in Cognitive Sciences 14 (2):64-71.
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  • Spatial reference frame of incidentally learned attention.Yuhong V. Jiang & Khena M. Swallow - 2013 - Cognition 126 (3):378-390.
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  • (1 other version)Perceptual learning rules based on reinforcers and attention.Takeo Watanabe Pieter R. Roelfsema, Arjen van Ooyen - 2010 - Trends in Cognitive Sciences 14 (2):64.
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  • Where is the chocolate? Rapid spatial orienting toward stimuli associated with primary rewards.Eva Pool, Tobias Brosch, Sylvain Delplanque & David Sander - 2014 - Cognition 130 (3):348-359.
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  • A Unified Model for Perceptual Learning.Aaron Seitz & Takeo Watanabe - 2005 - Trends in Cognitive Sciences 9 (7):329-334.
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