Search results for 'R. Beau Lotto' (try it on Scholar)

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  1. R. Beau Lotto & Dale Purves (2002). The Empirical Basis of Color Perception. Consciousness and Cognition 11 (4):609-629.score: 870.0
    Rationalizing the perceptual effects of spectral stimuli has been a major challenge in vision science for at least the last 200 years. Here we review evidence that this otherwise puzzling body of phenomenology is generated by an empirical strategy of perception in which the color an observer sees is entirely determined by the probability distribution of the possible sources of the stimulus. The rationale for this strategy in color vision, as in other visual perceptual domains, is the inherent ambiguity of (...)
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  2. L. Souder (1998). Douglas R. Hofstadter, Le Ton Beau de Marot. Journal of Consciousness Studies 5:249-250.score: 120.0
     
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  3. R. Beau Lotto (2002). The Empirical Basis of Color Perception. Consciousness and Cognition 11 (4):609-629.score: 87.0
    Rationalizing the perceptual effects of spectral stimuli has been a major challenge in vision science for at least the last 200 years. Here we review evidence that this otherwise puzzling body of phenomenology is generated by an empirical strategy of perception in which the color an observer sees is entirely determined by the probability distribution of the possible sources of the stimulus. The rationale for this strategy in color vision, as in other visual perceptual domains, is the inherent ambiguity of (...)
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  4. Sung-Joo Lim & Lori L. Holt (2011). Learning Foreign Sounds in an Alien World: Videogame Training Improves Non-Native Speech Categorization. Cognitive Science 35 (7):1390-1405.score: 24.0
    Although speech categories are defined by multiple acoustic dimensions, some are perceptually weighted more than others and there are residual effects of native-language weightings in non-native speech perception. Recent research on nonlinguistic sound category learning suggests that the distribution characteristics of experienced sounds influence perceptual cue weights: Increasing variability across a dimension leads listeners to rely upon it less in subsequent category learning (Holt & Lotto, 2006). The present experiment investigated the implications of this among native Japanese learning English (...)
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