Category-specific neural oscillations predict recall organization during memory search.
Publication/Presentation Date
10-1-2013
Abstract
Retrieved-context models of human memory propose that as material is studied, retrieval cues are constructed that allow one to target particular aspects of past experience. We examined the neural predictions of these models by using electrocorticographic/depth recordings and scalp electroencephalography (EEG) to characterize category-specific oscillatory activity, while participants studied and recalled items from distinct, neurally discriminable categories. During study, these category-specific patterns predict whether a studied item will be recalled. In the scalp EEG experiment, category-specific activity during study also predicts whether a given item will be recalled adjacent to other same-category items, consistent with the proposal that a category-specific retrieval cue is used to guide memory search. Retrieved-context models suggest that integrative neural circuitry is involved in the construction and maintenance of the retrieval cue. Consistent with this hypothesis, we observe category-specific patterns that rise in strength as multiple same-category items are studied sequentially, and find that individual differences in this category-specific neural integration during study predict the degree to which a participant will use category information to organize memory search. Finally, we track the deployment of this retrieval cue during memory search: Category-specific patterns are stronger when participants organize their responses according to the category of the studied material.
Volume
23
Issue
10
First Page
2407
Last Page
2422
ISSN
1460-2199
Published In/Presented At
Morton, N. W., Kahana, M. J., Rosenberg, E. A., Baltuch, G. H., Litt, B., Sharan, A. D., Sperling, M. R., & Polyn, S. M. (2013). Category-specific neural oscillations predict recall organization during memory search. Cerebral cortex (New York, N.Y. : 1991), 23(10), 2407–2422. https://doi.org/10.1093/cercor/bhs229
Disciplines
Medicine and Health Sciences
PubMedID
22875859
Department(s)
Department of Medicine
Document Type
Article