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Distributed Representations in Memory: Insights from Functional Brain Imaging

delete2012-01-10
delete204
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OA
AI
J
Jesse Rissman *
A
Anthony D. Wagner
DOI:10.1146/annurev-psych-120710-100344delete
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摘要

摘要

En 中文
Forging new memories for facts and events, holding critical details in mind on a, moment-to-moment basis, and retrieving knowledge in the service of current goals all depend on a complex interplay between neural ensembles throughout the brain. Over the past decade, researchers have increasingly utilized powerful analytical tools (e.g., multivoxel pattern analysis) to decode the information represented within distributed functional magnetic resonance imaging activity patterns. In this review, we discuss how these methods can sensitively index neural representations of perceptual and semantic content and how leverage on the engagement of distributed representations provides unique insights into distinct aspects of memory-guided behavior. We emphasize that, in addition to characterizing the contents of memories, analyses of distributed patterns shed light on the processes that influence how information is encoded, maintained, or retrieved, and thus inform memory theory. We conclude by highlighting open questions about memory that can be addressed through distributed pattern analyses.
Keyword:
episodic memory
working memory
encoding
retrieval
MVPA
multivariate

期刊

Annual Review of Psychology 封面图
Annual Review of Psychology
IF:
29.4
论文数:
1.9K
被引数:
3.0W

机构

S
Stanford University
学者数:
9.6W
论文数: 8.2W
被引数: 17.0W
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