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首页> 外文期刊>Journal of Neurophysiology >Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features
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Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features

机译：人类常规Cortex代表了基于抽象对象特征的行为相关的目标状态

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摘要

Searching for items that are useful given current goals, or "target" recognition, requires observers to flexibly attend to certain object properties at the expense of others. This could involve focusing on the identity of an object while ignoring identity-preserving transformations such as changes in viewpoint or focusing on its current viewpoint while ignoring its identity. To effectively filter out variation due to the irrelevant dimension, performing either type of task is likely to require highlevel, abstract search templates. Past work has found target recognition signals in areas of ventral visual cortex and in subregions of parietal and frontal cortex. However, target status in these tasks is typically associated with the identity of an object, rather than identity-orthogonal properties such as object viewpoint. In this study, we used a task that required subjects to identify novel object stimuli as targets according to either identity or viewpoint, each of which was not predictable from low-level properties such as shape. We performed functional MRI in human subjects of both sexes and measured the strength of target-match signals in areas of visual, parietal, and frontal cortex. Our multivariate analyses suggest that the multiple-demand (MD) network, including subregions of parietal and frontal cortex, encodes information about an object's status as a target in the relevant dimension only, across changes in the irrelevant dimension. Furthermore, there was more target-related information in MD regions on correct compared with incorrect trials, suggesting a strong link between MD target signals and behavior.
机译：搜索具有当前目标或“目标”识别的有用的项目需要观察者以牺牲他人的费用灵活地参加某些对象属性。这可能涉及专注于对象的身份，同时忽略身份保存的变换，例如在视点中的变化或忽略其标识的同时对其当前观点进行重点。为了有效地过滤出由于无关尺寸而变化，执行任一类型的任务可能需要高级别，抽象搜索模板。过去的工作已经发现了腹侧视觉皮质区域的目标识别信号以及俯视和额外皮质的次区域。然而，这些任务中的目标状态通常与对象的身份相关联，而不是诸如对象视点的标识正交属性。在本研究中，我们使用了根据标识或观点来将新的对象刺激识别为目标的任务，每个对象刺激是目标的，每个目标是从诸如形状的低级特性可预测的。我们在两性的人类受试者中进行了功能性MRI，并测量了视觉，视网膜和额叶地区的目标匹配信号的强度。我们的多变量分析表明，多次需求（MD）网络（包括Pareteral和Frontal Cortex）的子区域，仅在无关维度的变化中编码有关对象状态作为目标中的目标的目标。此外，与错误的试验相比，MD区中的MD区中有更多的目标相关信息，建议MD目标信号和行为之间的强烈链接。

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