From visual affordances in monkey parietal cortex to hippocampo-parietal interactions underlying rat navigation
From visual affordances in monkey parietal cortex to hippocampo-parietal interactions underlying rat navigation
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DOI：
10.1098/rstb.1997.0129
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发表时间：
1997-10-29
影响因子：
6.3
通讯作者：
Arbib, MA
中科院分区：
文献类型：
--
作者：
Arbib, MA
本文探讨的假设，后顶叶皮层的各个分区（但绝不是所有）专门处理视觉信息，以提取各种行为的启示。两个生物学为基础的模型的区域后顶叶皮质的猴子。该模型的外侧顶内区（LIP）强调其作用，在动态重新映射的代表性的目标在一个双扫视任务，并结合存储，更新的输入与当前的视觉输入。该模型的前顶内区（AIP）地址的顶叶-运动前区的相互作用参与抓握，并分析AIP和运动前区F5之间的相互作用。该模型代表了其他顶内区的作用，协同工作与下颞叶皮层以及与F5的必然放电，以提供和增强AIP中的示能信息，并建议如何解决各种限制多个示能提供的行动机会。最后，一个系统级模型的大脑皮层-顶叶相互作用的基础大鼠导航的开发，在开发上述两个模型中使用的猴子的数据，以及在猴子的后顶叶皮层的神经元的数据，是敏感的视觉运动的动机。动态重新映射（灵长类动物扫视）和路径整合（大鼠导航）之间的正式相似性，并解释了某些可用的数据对大鼠后顶叶皮层的启示运动。还建议进一步建模的实用性，将动机行为的认知地图的世界图模型与导航中涉及的海马-顶叶相互作用联系起来。这些模型表明，后顶叶皮层不仅本身是一个相互作用的子系统网络，而且通过与许多其他大脑区域的合作计算来发挥作用。
This paper explores the hypothesis that various subregions (but by no means all) of the posterior parietal cortex are specialized to process visual information to extract a variety of affordances for behaviour. Two biologically based models of regions of the posterior parietal cortex of the monkey are introduced. The model of the lateral intraparietal area (LIP) emphasizes its roles in dynamic remapping of the representation of targets during a double saccade task, and in combining stored, updated input with current visual input. The model of the anterior intraparietal area (AIP) addresses parietal-premotor interactions involved in grasping, and analyses the interaction between the AIP and premotor area F5. The model represents the role of other intraparietal areas working in concert with the inferotemporal cortex as well as with corollary discharge from F5 to provide and augment the affordance information in the AIP, and suggests how various constraints may resolve the action opportunities provided by multiple affordances. Finally, a systems-level model of hippocampo-parietal interactions underlying rat navigation is developed, motivated by the monkey data used in developing the above two models as well as by data on neurones in the posterior parietal cortex of the monkey that are sensitive to visual motion. The formal similarity between dynamic remapping (primate saccades) and path integration (rat navigation) is noted, and certain available data on rat posterior parietal cortex in terms of affordances for locomotion are explained. The utility of further modelling, linking the World Graph model of cognitive maps for motivated behaviour with hippocampal-parietal interactions involved in navigation, is also suggested. These models demonstrate that posterior parietal cortex is not only itself a network of interacting subsystems, but functions through cooperative computation with many other brain regions.