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Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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Categorical Perception For Red And Brown

Authors: Witzel, Christoph; Gegenfurtner, Karl Reiner;

Categorical Perception For Red And Brown

Abstract

This data supplements the article: Witzel, C., & Gegenfurtner, K. R. (2016). Categorical perception for red and brown. Journal of Experimental Psychology: Human Perception & Performance, 42(4), 540-570. doi:10.1037/xhp0000154 The Excell-file with the data includes 3 sheets: Sheet 1 (jnd): JND data from Figure 4.a of the above article. - columns = 20 test colours. - rows = 14 observers. Sheet 2 (rt): Response time data from Figure 6.a of the above article. - columns = three kinds of colour pairs (AB, BC, & CD) and the location of the target (left vs. right). - rows = 15 observers. Sheet 3 (er): Error rates from Figure 6.b of the above article. - columns and rows as in sheet 2.

This research was funded by the Deutsche Forschungsgemeinschaft (#SFB TRR 135), and CW was financially supported by a German Academic Exchange Service (DAAD) postdoctoral fellowship and by J. Kevin O'Regan's ERC Advanced Grant "FEEL" (#323674).

Related Organizations
Keywords

color perception, Sapir-Whorf hypothesis, categorical perception, language and perception, color categories

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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