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Recognizing spatial patterns: A noisy exemplar approach (2002)
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| Venue: | Vision Research |
| Citations: | 63 - 30 self |
BibTeX
@ARTICLE{Kahana02recognizingspatial,
author = {Michael Kahana and Robert Sekuler},
title = {Recognizing spatial patterns: A noisy exemplar approach},
journal = {Vision Research},
year = {2002},
volume = {42},
pages = {2177--2192}
}
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Abstract
this article may be addressed to either Michael Kahana or Robert Sekuler, Volen National Center for Complex Systems, MS 013, Brandeis University, Waltham, MA 02254-9110. E-mail may be sent to kahana @brandeis.edu or sekuler@brandeis.edu plex multidimensional stimulus spaces (Nosofsky, 1992; Maddox & Ashby, 1996; Ashby & Perrin, 1988), with decision rules that can predict performance in a variety of classification paradigms (Nosofsky & Palmeri, 1998; Nosofsky & Alfonso-Reese, 1999; Maddox & Ashby, 1996). Although models of classification and models of visual discrimination share many assumptions about stimulus representation and subjects' decision rules, models of classification have been primarily developed to explain subjects' classification of combinations of simple geometric forms, whereas models of discrimination have been developed to explain subjects ' discrimination of elemental visual stimuli, including sinusoidal luminance gratings. Because such stimuli can be combined to synthesize more complex images such as textures and natural scenes, they represent a natural test-bed for assessing theories' power and generalizability
Keyphrases
spatial pattern noisy exemplar approach decision rule maddox ashby plex multidimensional stimulus space ma 02254-9110 complex system ashby perrin michael kahana brandeis university nosofsky alfonso-reese complex image sinusoidal luminance grating natural scene sekuler brandeis elemental visual stimulus volen national center simple geometric form stimulus representation whereas model nosofsky palmeri visual discrimination share many assumption robert sekuler classification paradigm natural test-bed
