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  Integration of Local Features into Global Shapes: Monkey and Human fMRI Studies

Kourtzi, Z., Tolias, A., Altmann, C., Augath, M., & Logothetis, N. (2003). Integration of Local Features into Global Shapes: Monkey and Human fMRI Studies. Neuron, 37(2), 333-346. doi:10.1016/S0896-6273(02)01174-1.

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Kourtzi, Z1, 2, 3, Autor           
Tolias, AS2, 3, Autor           
Altmann, CF1, 3, Autor           
Augath, M2, 3, Autor           
Logothetis, NK2, 3, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Zusammenfassung: The integration of local image features into global shapes was investigated in monkeys and humans using fMRI. An adaptation paradigm was used, in which stimulus selectivity was deduced by changes in the course of adaptation of a pattern of randomly oriented elements. Accordingly, we observed stronger activity when orientation changes in the adapting stimulus resulted in a collinear contour than a different random pattern. This selectivity to collinear contours was observed not only in higher visual areas that are implicated in shape processing, but also in early visual areas where selectivity depended on the receptive field size. These findings suggest that unified shape perception in both monkeys and humans involves multiple visual areas that may integrate local elements to global shapes at different spatial scales.

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 Datum: 2003-01
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/S0896-6273(02)01174-1
BibTex Citekey: 2067
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Titel: Neuron
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge, Mass. : Cell Press
Seiten: - Band / Heft: 37 (2) Artikelnummer: - Start- / Endseite: 333 - 346 Identifikator: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565