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：
7113431
负责人：
Ehren L. Newman
金额：
$ 4.47万
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 2008-04-12
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记忆而导致的记忆遗忘。尽管检索引起的遗忘在行为上已得到很好的表征，但其神经机制却知之甚少。这项拟议的研究利用人类的电生理学来监测与检索引起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。将使用随后的遗忘分析来提取导致遗忘的记忆激活模式。检索引起的遗忘的神经网络模拟预测了相对于 θ 带振荡的特定记忆激活模式。这些预测将通过检查待遗忘记忆的激活如何取决于 θ 相位来进行检验。拟议的研究还将通过将其应用于海马结构并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精确神经机制将有助于我们更好地控制遗忘发生的时间，这反过来又可以帮助我们设计出更好的治疗方法来治疗创伤后应激障碍（需要更多的遗忘）和年龄。相关的记忆障碍（需要减少遗忘）。