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  1. Feature analysis in early vision: Evidence from search asymmetries.Anne Treisman & Stephen Gormican - 1988 - Psychological Review 95 (1):15-48.
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  • Change blindness: Past, present, and future. [REVIEW]Daniel J. Simons & Ronald A. Rensink - 2005 - Trends in Cognitive Sciences 9 (1):16-20.
    Change blindness is the striking failure to see large changes that normally would be noticed easily. Over the past decade this phenomenon has greatly contributed to our understanding of attention, perception, and even consciousness. The surprising extent of change blindness explains its broad appeal, but its counterintuitive nature has also engendered confusions about the kinds of inferences that legitimately follow from it. Here we discuss the legitimate and the erroneous inferences that have been drawn, and offer a set of requirements (...)
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  • Change Blindness.Ronald A. Rensink - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 76--81.
    Large changes that occur in clear view of an observer can become difficult to notice if made during an eye movement, blink, or other such disturbance. This change blindness is consistent with the proposal that focused visual attention is necessary to see change, with a change becoming difficult to notice whenever conditions prevent attention from being automatically drawn to it. -/- It is shown here how the phenomenon of change blindness can provide new results on the nature of visual attention, (...)
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  • The role of location indexes in spatial perception: A sketch of the FINST spatial-index model.Zenon Pylyshyn - 1989 - Cognition 32 (1):65-97.
    Marr (1982) may have been one of the rst vision researchers to insist that in modeling vision it is important to separate the location of visual features from their type. He argued that in early stages of visual processing there must be “place tokens” that enable subsequent stages of the visual system to treat locations independent of what specic feature type was at that location. Thus, in certain respects a collinear array of diverse features could still be perceived as a (...)
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  • A sensorimotor account of vision and visual consciousness.J. Kevin O’Regan & Alva Noë - 2001 - Behavioral and Brain Sciences 24 (5):883-917.
    Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of (...)
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  • Attentional resolution.Sheng He, Patrick Cavanagh & James Intriligator - 1997 - Trends in Cognitive Sciences 1 (3):115-121.
  • Salience, relevance, and firing: a priority map for target selection.Jillian H. Fecteau & Douglas P. Munoz - 2006 - Trends in Cognitive Sciences 10 (8):382-390.
  • 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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  • Visual and oculomotor selection: links, causes and implications for spatial attention.Edward Awh, Katherine M. Armstrong & Tirin Moore - 2006 - Trends in Cognitive Sciences 10 (3):124-130.
  • Computational modelling of visual attention.L. Itti & C. Koch - 2001 - Nature Reviews Neuroscience 2 (3):194-203.
  • The representation of visual salience in monkey parietal cortex.J. P. Gottlieb, M. Kusunoki & M. E. Goldberg - 1998 - Nature 391 (6666):481-484.
  • Control of goal-directed and stimulus-driven attention in the brain.M. Corbetta & G. L. Shulman - 2002 - Nature Reviews Neuroscience 3 (3):201-215.