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首页> 外文期刊>Cerebral Cortex >A Dynamic Object-Processing Network: Metric Shape Discrimination of Dynamic Objects by Activation of Occipitotemporal, Parietal, and Frontal Cortices
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A Dynamic Object-Processing Network: Metric Shape Discrimination of Dynamic Objects by Activation of Occipitotemporal, Parietal, and Frontal Cortices

机译:动态对象处理网络:通过枕颞叶,顶叶和额叶皮层的激活来对动态对象进行度量区分

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摘要

Shape perception is important for object recognition. However, behavioral 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 3-dimensional shape difference between the pair was systematically varied in metric steps. In addition, the objects rotated in either the same or the different direction to determine the effect of task-irrelevant motion on behavior and neural activity. We found that observers' shape discrimination performance increased systematically with shape differences, as did the hemodynamic responses of occipitotemporal, parietal, and frontal regions. Furthermore, responses in occipital regions were only correlated with observers' perceived shape differences. We also found different 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.
机译:形状感知对于物体识别很重要。但是,行为研究表明,刚性运动除了提供视觉提示以形成形状外,还直接有助于识别过程。使用心理物理学和功能性脑成像,我们研究了涉及形状和运动处理以进行动态对象识别的神经机制。观察者区分成对的旋转的新颖物体,其中一对物体之间的3维形状差异以公制步进系统地变化。此外,对象沿相同或不同方向旋转以确定与任务无关的运动对行为和神经活动的影响。我们发现观察者的形状辨别性能随着形状差异而系统地增加,枕颞部,顶叶和额叶区域的血液动力学反应也有所提高。此外,枕骨区域的反应仅与观察者的感知形状差异相关。我们还发现对象运动对不同观察者的形状识别的不同影响,这反映在颞上沟的反应中。这些结果表明,一个区域网络参与了动态对象识别的度量形状差异的判别。

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  • 来源
    《Cerebral Cortex》 |2008年第6期|p.1302-1313|共12页
  • 作者单位

    1Department of Cognitive and Computational Psychophysics, Max Planck Institute for Biological Cybernetics, Tübingen, Germany 2Division of Psychology, Newcastle University, Newcastle upon Tyne, UK;

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