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Perirhinal cortex learns a predictive map of the task environment

Author

Listed:
  • David G. Lee

    (Boston University
    Boston University)

  • Caroline A. McLachlan

    (Boston University
    Boston University)

  • Ramon Nogueira

    (Columbia University
    Columbia University)

  • Osung Kwon

    (Boston University
    Boston University)

  • Alanna E. Carey

    (Boston University
    Boston University)

  • Garrett House

    (Boston University)

  • Gavin D. Lagani

    (Boston University)

  • Danielle LaMay

    (Boston University)

  • Stefano Fusi

    (Columbia University
    Columbia University)

  • Jerry L. Chen

    (Boston University
    Boston University
    Boston University
    Boston University)

Abstract

Goal-directed tasks involve acquiring an internal model, known as a predictive map, of relevant stimuli and associated outcomes to guide behavior. Here, we identified neural signatures of a predictive map of task behavior in perirhinal cortex (Prh). Mice learned to perform a tactile working memory task by classifying sequential whisker stimuli over multiple training stages. Chronic two-photon calcium imaging, population analysis, and computational modeling revealed that Prh encodes stimulus features as sensory prediction errors. Prh forms stable stimulus-outcome associations that can progressively be decoded earlier in the trial as training advances and that generalize as animals learn new contingencies. Stimulus-outcome associations are linked to prospective network activity encoding possible expected outcomes. This link is mediated by cholinergic signaling to guide task performance, demonstrated by acetylcholine imaging and systemic pharmacological perturbation. We propose that Prh combines error-driven and map-like properties to acquire a predictive map of learned task behavior.

Suggested Citation

  • David G. Lee & Caroline A. McLachlan & Ramon Nogueira & Osung Kwon & Alanna E. Carey & Garrett House & Gavin D. Lagani & Danielle LaMay & Stefano Fusi & Jerry L. Chen, 2024. "Perirhinal cortex learns a predictive map of the task environment," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47365-7
    DOI: 10.1038/s41467-024-47365-7
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    References listed on IDEAS

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    1. Johannes Friedrich & Pengcheng Zhou & Liam Paninski, 2017. "Fast online deconvolution of calcium imaging data," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-26, March.
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