Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning.
| العنوان: | Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. |
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| المؤلفون: | Qü AJ; Department of Psychology, University of California, Berkeley, CA, 94720, USA.; Center for Computational Biology, University of California, Berkeley, CA, 94720, USA., Tai LH; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA., Hall CD; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, W1T 4JG, UK., Tu EM; Department of Psychology, University of California, Berkeley, CA, 94720, USA., Eckstein MK; Google DeepMind, London, UK., Mishchanchuk K; Department of Neuroscience, Physiology and Pharmacology, University College London, UK., Lin WC; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA., Chase JB; Department of Psychology, University of California, Berkeley, CA, 94720, USA., MacAskill AF; Department of Neuroscience, Physiology and Pharmacology, University College London, UK., Collins AGE; Department of Psychology, University of California, Berkeley, CA, 94720, USA.; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA., Gershman SJ; Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA.; Center for Brains, Minds, and Machines, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA., Wilbrecht L; Department of Psychology, University of California, Berkeley, CA, 94720, USA.; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA. |
| المصدر: | BioRxiv : the preprint server for biology [bioRxiv] 2023 Nov 13. Date of Electronic Publication: 2023 Nov 13. |
| نوع المنشور: | Preprint |
| اللغة: | English |
| بيانات الدورية: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| مستخلص: | Dopamine release in the nucleus accumbens has been hypothesized to signal reward prediction error, the difference between observed and predicted reward, suggesting a biological implementation for reinforcement learning. Rigorous tests of this hypothesis require assumptions about how the brain maps sensory signals to reward predictions, yet this mapping is still poorly understood. In particular, the mapping is non-trivial when sensory signals provide ambiguous information about the hidden state of the environment. Previous work using classical conditioning tasks has suggested that reward predictions are generated conditional on probabilistic beliefs about the hidden state, such that dopamine implicitly reflects these beliefs. Here we test this hypothesis in the context of an instrumental task (a two-armed bandit), where the hidden state switches repeatedly. We measured choice behavior and recorded dLight signals reflecting dopamine release in the nucleus accumbens core. Model comparison based on the behavioral data favored models that used Bayesian updating of probabilistic beliefs. These same models also quantitatively matched the dopamine measurements better than non-Bayesian alternatives. We conclude that probabilistic belief computation plays a fundamental role in instrumental performance and associated mesolimbic dopamine signaling. |
| معلومات مُعتمدة: | MR/W02005X/1 United Kingdom MRC_ Medical Research Council; U19 NS113201 United States NS NINDS NIH HHS |
| تواريخ الأحداث: | Date Created: 20231128 Latest Revision: 20240425 |
| رمز التحديث: | 20240425 |
| مُعرف محوري في PubMed: | PMC10680647 |
| DOI: | 10.1101/2023.11.10.566306 |
| PMID: | 38014354 |
| قاعدة البيانات: | MEDLINE |
| DOI: | 10.1101/2023.11.10.566306 |
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