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A dynamic object-processing network: Metric shape discrimination of dynamic objects by activation of occipito-temporal, parietal and frontal cortex

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Schultz,  J
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Chuang,  L
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Vuong,  QC
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Schultz, J., Chuang, L., & Vuong, Q. (2008). A dynamic object-processing network: Metric shape discrimination of dynamic objects by activation of occipito-temporal, parietal and frontal cortex. Cerebral Cortex, 18(6), 1302-1313. doi:10.1093/cercor/bhm162.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C8BF-A
Abstract
Shape perception is important for object recognition. However, behavioural studies have shown that rigid motion also contributes directly to the recognition process, in addition to providing visual cues to shape. Using psychophysics and functional brain imaging, we investigated the neural mechanisms involved in shape and motion processing for dynamic object recognition. Observers discriminated between pairs of rotating novel objects in which the three-dimensional shape difference between the pair was systematically varied in metric steps. In addition, the objects rotated in either the same or different direction to determine the effect of task-irrelevant motion on behaviour and neural activity. We found that observers’ shape discrimination performance increased systematically with shape differences, as did the haemodynamic responses of occipito-temporal, parietal and frontal regions. Furthermore, responses in occipital regions were only correlated with observers’ perceived shape differences. We also found d
ifferent effects of object motion on shape discrimination across observers which were reflected in responses of the superior temporal sulcus. These results suggest a network of regions that are involved in the discrimination of metric shape differences for dynamic object recognition.