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Prefrontal reinstatement of contextual task demand is predicted by separable hippocampal patterns

Author

Listed:
  • Jiefeng Jiang

    (Stanford University)

  • Shao-Fang Wang

    (Stanford University)

  • Wanjia Guo

    (University of Oregon)

  • Corey Fernandez

    (Stanford University)

  • Anthony D. Wagner

    (Stanford University
    Stanford University)

Abstract

Goal-directed behavior requires the representation of a task-set that defines the task-relevance of stimuli and guides stimulus-action mappings. Past experience provides one source of knowledge about likely task demands in the present, with learning enabling future predictions about anticipated demands. We examine whether spatial contexts serve to cue retrieval of associated task demands (e.g., context A and B probabilistically cue retrieval of task demands X and Y, respectively), and the role of the hippocampus and dorsolateral prefrontal cortex (dlPFC) in mediating such retrieval. Using 3D virtual environments, we induce context-task demand probabilistic associations and find that learned associations affect goal-directed behavior. Concurrent fMRI data reveal that, upon entering a context, differences between hippocampal representations of contexts (i.e., neural pattern separability) predict proactive retrieval of the probabilistically dominant associated task demand, which is reinstated in dlPFC. These findings reveal how hippocampal-prefrontal interactions support memory-guided cognitive control and adaptive behavior.

Suggested Citation

  • Jiefeng Jiang & Shao-Fang Wang & Wanjia Guo & Corey Fernandez & Anthony D. Wagner, 2020. "Prefrontal reinstatement of contextual task demand is predicted by separable hippocampal patterns," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15928-z
    DOI: 10.1038/s41467-020-15928-z
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