Perirhinal cortex learns a predictive map of the task environment

David G. Lee, Caroline A. McLachlan, Ramon Nogueira, Osung Kwon, Alanna E. Carey, Garrett House, Gavin D. Lagani, Danielle LaMay, Stefano Fusi and Jerry L. Chen ()
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David G. Lee: Boston University
Caroline A. McLachlan: Boston University
Ramon Nogueira: Columbia University
Osung Kwon: Boston University
Alanna E. Carey: Boston University
Garrett House: Boston University
Gavin D. Lagani: Boston University
Danielle LaMay: Boston University
Stefano Fusi: Columbia University
Jerry L. Chen: Boston University

Nature Communications, 2024, vol. 15, issue 1, 1-16

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-47365-7

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