Literature DB >> 16356076

Accurate statistical tests for smooth classification images.

Alan Chauvin1, Keith J Worsley, Philippe G Schyns, Martin Arguin, Frédéric Gosselin.   

Abstract

Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns (2001) and from A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett (2004). The necessary computations are performed using the Stat4Ci Matlab toolbox.

Mesh:

Year:  2005        PMID: 16356076     DOI: 10.1167/5.9.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  52 in total

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Authors:  Kenneth Knoblauch; Laurence T Maloney
Journal:  J Vis       Date:  2008-12-22       Impact factor: 2.240

8.  Dynamics of trimming the content of face representations for categorization in the brain.

Authors:  Nicola J van Rijsbergen; Philippe G Schyns
Journal:  PLoS Comput Biol       Date:  2009-11-13       Impact factor: 4.475

9.  Transmission of facial expressions of emotion co-evolved with their efficient decoding in the brain: behavioral and brain evidence.

Authors:  Philippe G Schyns; Lucy S Petro; Marie L Smith
Journal:  PLoS One       Date:  2009-05-20       Impact factor: 3.240

10.  Reading between eye saccades.

Authors:  Caroline Blais; Daniel Fiset; Martin Arguin; Pierre Jolicoeur; Daniel Bub; Frédéric Gosselin
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