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Stable Representations of Decision Variables for Flexible Behavior
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Decisions occur in dynamic environments. In the framework of reinforcement learning, the probability of performing an action is influenced by decision variables. Discrepancies between predicted and obtained rewards (reward prediction errors) update these variables, but they are otherwise stable between decisions. Although reward prediction errors have been mapped to midbrain dopamine neurons, it is unclear how the brain represents decision variables themselves. We trained mice on a dynamic foraging task in which they chose between alternatives that delivered reward with changing probabilities. Neurons in the medial prefrontal cortex, including projections to the dorsomedial striatum, maintained persistent firing rate changes over long timescales. These changes stably represented relative action values (to bias choices) and total action values (to bias response times) with slow decay. In contrast, decision variables were weakly represented in the anterolateral motor cortex, a region necessary for generating choices. Thus, we define a stable neural mechanism to drive flexible behavior.
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“Also, the dynamic foraging task engages regions of the brain that are not necessary for the dynamic Pavlovian task.43”
From Serotonin neurons modulate learning rate through uncertainty (2022) · cites this paper as [43]
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Wu, H., Shen, L., Indajang, J., Savalia, N. K., Johnson, T. G., Qu, J., Bender, K. J., & Kwan, A. C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2508836122 · Cited by 6
Ohnuki, T., Osako, Y., Manabe, H., Sakurai, Y., & Hirokawa, J. (2021) · Neuroscience Research · doi:10.1016/j.neures.2021.07.002 · Cited by 4
Neuron-type specificity of dorsal raphe projections to ventral tegmental areaPreprint
Chang, A. J., Wang, L., Lucantonio, F., Adams, M., Lemire, A. L., Dudman, J. T., & Cohen, J. Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.06.425641 · Cited by 8
Self-citationA stable, distributed code for cue value in mouse cortex during reward learningPreprint
Ottenheimer, D. J., Hjort, M. M., Bowen, A. J., Steinmetz, N. A., & Stuber, G. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.13.499930 · Cited by 7
Integrator dynamics in the cortico-basal ganglia loop for flexible motor timing
Yang, Z., Inagaki, M., Gerfen, C. R., Fontolan, L., & Inagaki, H. (2025) · Nature · doi:10.1038/s41586-025-09778-2 · Cited by 10
Dynamic Foraging Behavior Performance Is Not Affected byScn2aHaploinsufficiency
Schamiloglu, S., Wu, H., Zhou, M., Kwan, A. C., & Bender, K. J. (2023) · eNeuro · doi:10.1523/eneuro.0367-23.2023 · Cited by 4
A decision-space model explains context-specific decision-making
Beck, D. W., Heaton, C. N., Davila, L. D., Rakocevic, L. I., Drammis, S. M., Tyulmankov, D., Giri, A., Beck, S. U., Zhang, Q., Pokojovy, M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61466-x · Cited by 5
Distinct representations of economic variables across regions and projections of the frontal cortex
Majumdar, A., Ashcroft, C. A., Fritsche, M., Tan, S., Zatka-Haas, P., Fölsz, O., Walker, N., Mistry, L., Rominto, A. M., Tvrdic, M., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.09.027 · Cited by 5
Dynamic decision making and value computations in medial frontal cortex
Bari, B. A., & Cohen, J. Y. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.12.001 · Cited by 6
Self-citationComplementary roles of serotonin and dopamine in model-based learning
Taira, M., & Sharpe, M. J. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101464 · Cited by 7
Maturation of cortical input to dorsal raphe nucleus increases behavioral persistence in mice
Gutiérrez‐Castellanos, N., Sarra, D., Godinho, B., & Mainen, Z. F. (2024) · eLife · doi:10.7554/elife.93485 · Cited by 6
Metadata
- Authors
- Bari, B. A., Grossman, C. D., Lubin, E. E., Rajagopalan, A. E., Cressy, J. I., & Cohen, J. Y.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Cohen, Jeremiah Y.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 103
- Issue
- 5
- Pages
- 922-933.e7
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC7169950
- OpenAlex
- W2953886068
- Cited by
- 173
- References
- 91
- Citations by year
- 2026: 19 · 2025: 25 · 2024: 25 · 2023: 30 · 2022: 20 · 2021: 30 · 2020: 19 · 2019: 3
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke
- Brain and Behavior Research Foundation
- Esther A. and Joseph Klingenstein Fund
- National Institute on Drug Abuse
- Whitehall Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- decision variables, behavioral flexibility, reward prediction error, medial prefrontal cortex, dorsomedial striatum, choice bias, reaction time (psychology), dopamine, mice
- MeSH terms
- Animals, Appetitive Behavior, Decision Making, Motor Cortex, Neural Pathways, Neurons, Probability, Reinforcement, Psychology, Reward, Neostriatum, Prefrontal Cortex, Mice, Electrophysiological Phenomena
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