University of Texas Health Science Center at Houston, 7000 Fannin, Suite 600, Houston, TX 77030, USA.
Comput Intell Neurosci. 2013;2013:152073. doi: 10.1155/2013/152073. Epub 2013 Apr 21.
According to the data-frame theory, sensemaking is a macrocognitive process in which people try to make sense of or explain their observations by processing a number of explanatory structures called frames until the observations and frames become congruent. During the sensemaking process, the parietal cortex has been implicated in various cognitive tasks for the functions related to spatial and temporal information processing, mathematical thinking, and spatial attention. In particular, the parietal cortex plays important roles by extracting multiple representations of magnitudes at the early stages of perceptual analysis. By a series of neural network simulations, we demonstrate that the dissociation of different types of spatial information can start early with a rather similar structure (i.e., sensitivity on a common metric), but accurate representations require specific goal-directed top-down controls due to the interference in selective attention. Our results suggest that the roles of the parietal cortex rely on the hierarchical organization of multiple spatial representations and their interactions. The dissociation and interference between different types of spatial information are essentially the result of the competition at different levels of abstraction.
根据数据框架理论，意义建构是一种宏观认知过程，人们通过处理一些称为框架的解释结构来尝试理解或解释他们的观察结果，直到观察结果和框架变得一致。在意义建构过程中，顶叶皮层被牵涉到各种认知任务中，涉及到与空间和时间信息处理、数学思维和空间注意力相关的功能。特别是，顶叶皮层通过在感知分析的早期阶段提取多个数量的表示来发挥重要作用。通过一系列神经网络模拟，我们证明不同类型的空间信息的分离可以很早就开始，具有相当相似的结构（即，共同度量上的敏感性），但由于选择性注意的干扰，准确的表示需要特定的目标导向的自上而下的控制。我们的结果表明，顶叶皮层的作用取决于多个空间表示及其相互作用的层次结构。不同类型的空间信息之间的分离和干扰本质上是不同抽象层次竞争的结果。
