Adaptation to statistical properties of visual scenes biases rapid categorization
2007 | journal article. A publication with affiliation to the University of Göttingen.
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Details
- Authors
- Kaping, Daniel; Tzvetanov, Tzvetomir ; Treue, Stefan
- Abstract
- The initial categorization of complex visual scenes is a very rapid process. Here we find no differences in performance for upright and inverted images arguing for a neural mechanism that can function without involving high-level image orientation dependent identification processes. Using an adaptation paradigm we are able to demonstrate that artificial images composed to mimic the orientation distribution of either natural or man-made scenes systematically shift the judgement of human observers. This suggests a highly efficient feedforward system that makes use of “low-level” image features yet supports the rapid extraction of essential information for the categorization of complex visual scenes.
- Issue Date
- 2007
- Journal
- Visual Cognition
- ISSN
- 1350-6285
- Language
- English