{"title":"多巴胺教什么取决于大脑相信什么","authors":"Eleonora Bano, Steven Ryu, Adam Kepecs","doi":"10.1038/s41593-025-01980-9","DOIUrl":null,"url":null,"abstract":"How does the brain learn to predict rewards? In this issue of Nature Neuroscience, Qian, Burrell et al. show that understanding how dopamine guides learning requires knowledge of how animals interpret tasks — what they believe is happening and when. By carefully manipulating cue–reward contingencies, the authors show that dopamine responses track belief-state reward prediction errors. These findings reaffirm — against recent challenges — that mesolimbic dopamine neurons signal prediction errors in line with the temporal difference learning rule, a core algorithm that bridges neuroscience and artificial intelligence.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"33 1","pages":""},"PeriodicalIF":20.0000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What dopamine teaches depends on what the brain believes\",\"authors\":\"Eleonora Bano, Steven Ryu, Adam Kepecs\",\"doi\":\"10.1038/s41593-025-01980-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How does the brain learn to predict rewards? In this issue of Nature Neuroscience, Qian, Burrell et al. show that understanding how dopamine guides learning requires knowledge of how animals interpret tasks — what they believe is happening and when. By carefully manipulating cue–reward contingencies, the authors show that dopamine responses track belief-state reward prediction errors. These findings reaffirm — against recent challenges — that mesolimbic dopamine neurons signal prediction errors in line with the temporal difference learning rule, a core algorithm that bridges neuroscience and artificial intelligence.\",\"PeriodicalId\":19076,\"journal\":{\"name\":\"Nature neuroscience\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":20.0000,\"publicationDate\":\"2025-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41593-025-01980-9\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41593-025-01980-9","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
What dopamine teaches depends on what the brain believes
How does the brain learn to predict rewards? In this issue of Nature Neuroscience, Qian, Burrell et al. show that understanding how dopamine guides learning requires knowledge of how animals interpret tasks — what they believe is happening and when. By carefully manipulating cue–reward contingencies, the authors show that dopamine responses track belief-state reward prediction errors. These findings reaffirm — against recent challenges — that mesolimbic dopamine neurons signal prediction errors in line with the temporal difference learning rule, a core algorithm that bridges neuroscience and artificial intelligence.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests.
In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.