Building concepts one episode at a time: The hippocampus and concept formation.

Building concepts one episode at a time: The hippocampus and concept formation.
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DOI:
10.1016/j.neulet.2017.07.061
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发表时间:
2018-07-27
影响因子:
2.5
通讯作者:
Preston AR
Preston AR
中科院分区:
医学4区
文献类型:
--
作者:
Mack ML;Love BC;Preston AR

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概念组织了我们的经验,并允许在新的情况下进行有意义的推断。获得新概念需要从多个学习经验中提取规则,这是一个在学习的数学模型中形式化的过程。这些模型假定了一个计算框架,该框架与不断扩大的与海马体相关的功能曲目越来越一致。在这里,我们提出了概念学习中海马区功能的情景到概念(EpCon)理论模型,并回顾了支持概念形成的海马区计算的证据,包括记忆整合、注意偏向和基于记忆的预测错误。我们专注于最近的研究,这些研究通过结合计算建模和复杂的神经成像测量的创新方法,直接评估了海马体在概念学习中的作用。总而言之,这项工作表明,海马体不仅仅是对单个情节进行编码;相反,它会自适应地将最初编码的情节记忆转化为驱动新行为的有组织的概念性知识。
Concepts organize our experiences and allow for meaningful inferences in novel situations. Acquiring new concepts requires extracting regularities across multiple learning experiences, a process formalized in mathematical models of learning. These models posit a computational framework that has increasingly aligned with the expanding repertoire of functions associated with the hippocampus. Here, we propose the Episodes-to-Concepts (EpCon) theoretical model of hippocampal function in concept learning and review evidence for the hippocampal computations that support concept formation including memory integration, attentional biasing, and memory-based prediction error. We focus on recent studies that have directly assessed the hippocampal role in concept learning with an innovative approach that combines computational modeling and sophisticated neuroimaging measures. Collectively, this work suggests that the hippocampus does much more than encode individual episodes; rather, it adaptively transforms initially-encoded episodic memories into organized conceptual knowledge that drives novel behavior.
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