Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 113, Issue 46, Pages 13203-13208Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1614048113
Keywords
category learning; attention; computational modeling; hippocampus; fMRI
Categories
Funding
- National Institute of Mental Health (NIMH) [F32-MH100904]
- National Science Foundation CAREER Award [1056019]
- NIMH [R01-MH100121]
- Leverhulme Trust [RPG-2014-075]
- Wellcome Trust Senior Investigator Award [WT106931MA]
- National Institute of Child Health and Human Development Grant [1P01HD080679]
- Direct For Social, Behav & Economic Scie
- Division Of Behavioral and Cognitive Sci [1056019] Funding Source: National Science Foundation
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Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal.
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