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Retrieved context in episodic and semantic memory

在情景和语义记忆中检索上下文

基本信息

批准号：
7342898
负责人：
Marc W Howard
金额：
$ 20.94万
依托单位：
SYRACUSE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-02-01 至 2010-01-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The relationship between episodic and semantic memory has been a source of much controversy in recent years. Previous work has established the Temporal Context Model (TCM) as a viable model of episodic recall. TCM uses retrieved context to model episodic associations. Latent Semantic Analysis (LSA) builds a semantic representation by using information about the contexts in which different words occur in large bodies of text to approximate their meanings. In LSA, the representation of two words becomes similar if they occur in similar textual contexts. This is reminiscent of the mediated associations (A-B, B-C) paradigm, in which A and C become associated by virtue of having been presented in a similar context (B). The proposed research examines the relationship between episodic and semantic memory using experiment and theory. Experiments study the ability of episodic memory to mimic the context-sensitive property of semantic memory. Using double-function lists (long chains of pairs, A-B, B-C, C-D, etc), we will explore the mediated association paradigm in new depth, testing specific predictions of TCM. Theoretically, TCM will be "trained on" large bodies of text. The resulting semantic representation will be compared to the semantic structure predicted by LSA, the semantic structure of English, and free association norms. By applying a quantitative model of episodic recall to semantic learning, the proposed research could provide considerable insight into the bases of episodic and semantic memory.

描述（由申请人提供）：近年来，情景记忆和语义记忆之间的关系一直是争议的根源。先前的工作已经建立了时间语境模型（TCM）作为一个可行的模型的情景回忆。TCM使用检索到的上下文来建模情景关联。潜在语义分析（LSA）通过使用关于不同单词出现在大量文本中的上下文的信息来近似它们的含义，从而构建语义表示。在LSA中，如果两个词出现在相似的文本上下文中，则它们的表示变得相似。这让人想起了中介关联（A-B，B-C）范式，在这种范式中，A和C由于在相似的语境（B）中出现而产生关联。本研究采用实验和理论相结合的方法考察了情景记忆和语义记忆之间的关系。实验研究情景记忆模仿语义记忆的上下文敏感特性的能力。使用双功能列表（长链的对，A-B，B-C，C-D等），我们将探索新的深度中介关联范式，测试中医的具体预测。从理论上讲，中医将“训练”大量的文本。由此产生的语义表示将比较LSA预测的语义结构，英语的语义结构，和自由联想规范。通过将情景回忆的定量模型应用于语义学习，本研究可以为情景记忆和语义记忆的基础提供相当多的见解。