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- ISIDORE Id: 10670/1.85a587...
- hal: hal-00806723
- doi: 10.1167/5.9.1
- PUBMED: 16356076
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Mots-clés
classification images reverse correlation Bubbles random field theory -bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior -bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesSujets proches
Knowledge, Classification ofCiter ce document
Alan Chauvin et al., « Accurate statistical tests for smooth classification images. », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1167/5.9.1
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Résumé
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.
