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Dynamic updating of hippocampal object representations reflects new conceptual knowledge

机译:海马对象表示的动态更新反映了新的概念知识

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摘要

Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal.
机译:概念通过突出显示共享功能来组织单个刺激或事件之间的关系。通常,新目标需要更新概念知识,以反映基于不同目标相关功能的关系。在这里,我们的目的是确定如何组织和更新海马(HPC)对象表示以反映不断变化的概念知识。参与者学习了两个分类任务,在这些任务中,成功的学习需要注意不同的刺激特征,从而提供了一种手段,可以根据不断变化的任务目标来索引如何重组单个刺激的表示。我们使用计算学习模型来捕获人们在学习过程中如何关注与目标相关的功能以及根据这些功能组织对象表示。使用功能性磁共振成像数据的表示相似性分析,我们证明左前HPC中的神经表示与概念组织的模型预测相对应。此外,我们表明在早期学习期间,当最重要的是概念更新时,HPC在功能上与前额叶区域相结合。基于这些发现,我们建议,当任务目标发生变化时,可以以新的方式组织HPC中的对象表示,从而产生更新的概念,以突出显示对新目标最关键的功能。

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