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      Biological origins of color categorization

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          Significance

          Humans parse the continuum of color into discrete categories (e.g., “red” and “blue”), and the origin of these categories has been debated for many decades. Here, we provide evidence that infants have color categories for red, yellow, green, blue, and purple. We show that infants’ categorical distinctions align strikingly with those that are commonly made in the world’s different color lexicons. We also find that infants’ categorical distinctions relate to the activities of the two neural subsystems responsible for the early stages of color representation. These findings suggest that color categorization is partly organized and constrained by the biological mechanisms of color vision and not arbitrarily constructed by language.

          Abstract

          The biological basis of the commonality in color lexicons across languages has been hotly debated for decades. Prior evidence that infants categorize color could provide support for the hypothesis that color categorization systems are not purely constructed by communication and culture. Here, we investigate the relationship between infants’ categorization of color and the commonality across color lexicons, and the potential biological origin of infant color categories. We systematically mapped infants’ categorical recognition memory for hue onto a stimulus array used previously to document the color lexicons of 110 nonindustrialized languages. Following familiarization to a given hue, infants’ response to a novel hue indicated that their recognition memory parses the hue continuum into red, yellow, green, blue, and purple categories. Infants’ categorical distinctions aligned with common distinctions in color lexicons and are organized around hues that are commonly central to lexical categories across languages. The boundaries between infants’ categorical distinctions also aligned, relative to the adaptation point, with the cardinal axes that describe the early stages of color representation in retinogeniculate pathways, indicating that infant color categorization may be partly organized by biological mechanisms of color vision. The findings suggest that color categorization in language and thought is partially biologically constrained and have implications for broader debate on how biology, culture, and communication interact in human cognition.

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          Bayes Factors

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            The Origin of Concepts

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              Optional stopping: no problem for Bayesians.

              Optional stopping refers to the practice of peeking at data and then, based on the results, deciding whether or not to continue an experiment. In the context of ordinary significance-testing analysis, optional stopping is discouraged, because it necessarily leads to increased type I error rates over nominal values. This article addresses whether optional stopping is problematic for Bayesian inference with Bayes factors. Statisticians who developed Bayesian methods thought not, but this wisdom has been challenged by recent simulation results of Yu, Sprenger, Thomas, and Dougherty (2013) and Sanborn and Hills (2013). In this article, I show through simulation that the interpretation of Bayesian quantities does not depend on the stopping rule. Researchers using Bayesian methods may employ optional stopping in their own research and may provide Bayesian analysis of secondary data regardless of the employed stopping rule. I emphasize here the proper interpretation of Bayesian quantities as measures of subjective belief on theoretical positions, the difference between frequentist and Bayesian interpretations, and the difficulty of using frequentist intuition to conceptualize the Bayesian approach.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                23 May 2017
                8 May 2017
                : 114
                : 21
                : 5545-5550
                Affiliations
                [1] aThe Sussex Color Group, School of Psychology, University of Sussex , Sussex BN1 9RH, United Kingdom;
                [2] bComputational Cognitive Science Laboratory, Department of Psychology, University of California, Berkeley , CA 94720;
                [3] cSchool of Psychology, University of Sussex , Sussex BN1 9RH, United Kingdom
                Author notes
                1To whom correspondence should be addressed. Email: anna.franklin@ 123456sussex.ac.uk .

                Edited by Paul Kay, Stanford University, Stanford, CA, and approved April 11, 2017 (received for review August 11, 2016)

                Author contributions: A.E.S. and A.F. designed research; A.E.S., G.C., and A.F. performed research; A.E.S., J.T.A., J.M.B., and A.F. analyzed data; and A.E.S., J.M.B., and A.F. wrote the paper.

                Author information
                http://orcid.org/0000-0002-1496-9715
                Article
                PMC5448184 PMC5448184 5448184 201612881
                10.1073/pnas.1612881114
                5448184
                28484022
                70a0e8d6-12f5-45e6-b585-2565982f9533
                History
                Page count
                Pages: 6
                Funding
                Funded by: EC | European Research Council (ERC) 501100000781
                Award ID: 283605
                Categories
                Biological Sciences
                Psychological and Cognitive Sciences
                From the Cover

                infant,color lexicons,categorization,color perception,vision

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