Testing a Model of Competitive Memory Retrieval

测试竞争性记忆检索模型

基本信息

批准号：
7244290
负责人：
Ehren L. Newman
金额：
$ 1.86万
依托单位：
PRINCETON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-04-13 至 2007-09-13
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Retrieval-induced forgetting is the forgetting of memories as a result of retrieving other, similar memories. Although retrieval-induced forgetting has been well characterized behaviorally, its neural mechanism is poorly understood. The proposed research uses electrophysiology in humans to monitor the brain activity that correlates with retrieval-induced forgetting. Pattern classification methods will be used to track the activation of memories during retrieval. The pattern of memory activation that leads to forgetting will be extracted using a subsequent forgetting analysis. Neural network simulations of retrieval-induced forgetting predict a specific pattern of memory activation relative to theta band oscillations. These predictions will be tested through examination of how the activation of the to-be-forgotten memories depends on theta phase. The proposed research will also refine the neural network model of retrieval-induced forgetting, by applying it to a hippocampal architecture, and by using more realistic forms of inhibition. Understanding the precise neural mechanisms that govern retrieval-induced forgetting will help us to gain better control over when forgetting occurs, which - in turn - should help us devise better treatments for Post-Traumatic Stress Disorder (where more forgetting is desirable) and age-related memory disorders (where less forgetting is desirable).

描述（由申请人提供）：检索引起的遗忘是由于检索其他类似的记忆而忘记了记忆。尽管检索引起的遗忘在行为上的特征很好，但其神经机制知之甚少。拟议的研究使用人类的电生理学来监测与检索诱导的遗忘相关的大脑活动。模式分类方法将用于跟踪检索过程中记忆的激活。随后的遗忘分析将提取导致遗忘的内存激活模式。检索引起的遗忘的神经网络模拟预测了相对于theta带振荡的特定记忆激活模式。这些预测将通过检查如何遗忘记忆的激活取决于theta阶段来测试。拟议的研究还将通过将其应用于海马体系结构以及使用更现实的抑制形式来完善检索引起的遗忘的神经网络模型。了解控制检索引起的遗忘的确切神经机制将有助于我们在忘记发生时更好地控制遗忘时，这反过来应帮助我们为创伤后应激障碍更好地治疗（需要更多的遗忘）和与年龄相关的记忆障碍（在这种情况下更少的遗忘者（在较少的遗忘中是不可能的）。