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A stable, distributed code for cue value in mouse cortex during reward learning

View ORCID ProfileDavid J. Ottenheimer, View ORCID ProfileMadelyn M. Hjort, View ORCID ProfileAnna J. Bowen, View ORCID ProfileNicholas A. Steinmetz, View ORCID ProfileGarret D. Stuber
doi: https://doi.org/10.1101/2022.07.13.499930
David J. Ottenheimer
1Center for the Neurobiology of Addiction, Pain, and Emotion
2Anesthesiology and Pain Medicine
3Biological Structure
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  • ORCID record for David J. Ottenheimer
Madelyn M. Hjort
1Center for the Neurobiology of Addiction, Pain, and Emotion
2Anesthesiology and Pain Medicine
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  • ORCID record for Madelyn M. Hjort
Anna J. Bowen
3Biological Structure
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Nicholas A. Steinmetz
3Biological Structure
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  • For correspondence: nick.steinmetz@gmail.com gstuber@uw.edu
Garret D. Stuber
1Center for the Neurobiology of Addiction, Pain, and Emotion
2Anesthesiology and Pain Medicine
4Pharmacology, University of Washington, Seattle.
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  • For correspondence: nick.steinmetz@gmail.com gstuber@uw.edu
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Abstract

The ability to associate reward-predicting stimuli with adaptive behavior is frequently attributed to the prefrontal cortex, but the stimulus-specificity, spatial distribution, and stability of neural cue-reward associations are unresolved. We trained headfixed mice on an olfactory Pavlovian conditioning task and measured the coding properties of individual neurons across space (prefrontal, olfactory, and motor cortices) and time (multiple days). Neurons encoding cues and licks were most common in olfactory and motor cortex, respectively. By classifying cueencoding neurons according to their responses to the six odor cues, we unexpectedly found value coding, including coding of trial-by-trial reward history, in all regions we sampled. We further found that prefrontal cue and lick codes were preserved across days. Our results demonstrate that individual prefrontal neurons stably encode components of cue-reward learning within a larger spatial gradient of coding properties.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted July 16, 2022.
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A stable, distributed code for cue value in mouse cortex during reward learning
David J. Ottenheimer, Madelyn M. Hjort, Anna J. Bowen, Nicholas A. Steinmetz, Garret D. Stuber
bioRxiv 2022.07.13.499930; doi: https://doi.org/10.1101/2022.07.13.499930
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A stable, distributed code for cue value in mouse cortex during reward learning
David J. Ottenheimer, Madelyn M. Hjort, Anna J. Bowen, Nicholas A. Steinmetz, Garret D. Stuber
bioRxiv 2022.07.13.499930; doi: https://doi.org/10.1101/2022.07.13.499930

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