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

• Published in: eLife Vol. 12
• Main Authors: Ottenheimer, David J, Hjort, Madelyn M, Bowen, Anna J, Steinmetz, Nicholas A, Stuber, Garret D
• Format: Journal Article
• Language: English
• Published: England eLife Science Publications, Ltd 30.06.2023; eLife Sciences Publications Ltd; eLife Sciences Publications, Ltd
• Subjects: brain; Classical conditioning; Cortex (motor); Cortex (olfactory); electrophysiology; learning; Neural coding; Neurons; Neuroscience; Odors; Prefrontal cortex; Reinforcement; Spatial discrimination learning; Spatial distribution; mouse; learning; electrophysiology; brain; neuroscience
• ISSN: 2050-084X; 2050-084X
• DOI: 10.7554/eLife.84604

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 prefrontal cue-reward associations are unresolved. We trained head-fixed 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 or licks were most common in the olfactory and motor cortex, respectively. By quantifying the responses of cue-encoding neurons to six cues with varying probabilities of reward, we unexpectedly found value coding in all regions we sampled, with some enrichment in the prefrontal cortex. 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.