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Visual Feature Integration of Three Attributes in Stimulus-Response Mapping Is Distinct From That of Two

机译:刺激-响应映射中的三个属性的视觉特征集成与两个属性不同

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In the human visual system, different attributes of an object are processed separately and are thought to be then temporarily bound by attention into an integrated representation to produce a specific response. However, if such representations existed in the brain for arbitrary multi-attribute objects, a combinatorial explosion problem would be unavoidable. Here, we show that attention may bind features of different attributes only in pairs and that bound feature pairs, rather than integrated object representations, are associated with responses for unfamiliar objects. We found that in a mapping task from three-attribute stimuli to responses, presenting three attributes in pairs (two attributes in each window) did not significantly complicate feature integration and response selection when the stimuli were not very familiar. We also found that repeated presentation of the same triple conjunctions significantly improved performance on the stimulus-response task when the correct responses were determined by the combination of three attributes, but this familiarity effect was not observed when the response could be determined by two attributes. These findings indicate that integration of three or more attributes is a distinct process from that of two, requiring long-term learning or some serial process. This suggests that integrated object representations are not formed or are formed only for a limited number of very familiar objects, which resolves the computational difficulty of the binding problem.
机译:在人类视觉系统中,对象的不同属性被分别处理,然后被认为通过注意暂时绑定到一个集成表示中以产生特定的响应。但是,如果大脑中存在任意多属性对象的这种表示形式,那么组合爆炸问题将不可避免。在这里,我们表明注意力可能仅将成对的绑定不同属性的特征,并且绑定的特征对(而不是集成的对象表示)与对陌生对象的响应相关联。我们发现,在从三属性刺激到响应的映射任务中,当对刺激不是很熟悉时,成对呈现三个属性(每个窗口中两个属性)不会显着复杂化功能集成和响应选择。我们还发现,当通过三个属性的组合确定正确的响应时,重复呈现相同的三重连词会显着提高刺激响应任务的性能,但是当可以通过两个属性确定响应时,则不会观察到这种熟悉效果。这些发现表明,三个或更多属性的集成是与两个属性不同的过程,需要长期学习或某些串行过程。这表明没有形成集成对象表示或仅针对有限数量的非常熟悉的对象形成了集成对象表示,这解决了绑定问题的计算难度。

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