Neurocognitive biases from the lab to real life
Behavioral results suggest that learning by trial-and-error (i.e., reinforcement learning) relies on a teaching signal, the prediction error, which quantifies the difference between the obtained and the expected reward. Evidence suggests that distinct cortico-striatal circuits are recruited to encod...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-02-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-04544-4 |
| _version_ | 1811165773408763904 |
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| author | Henri Vandendriessche Stefano Palminteri |
| author_facet | Henri Vandendriessche Stefano Palminteri |
| author_sort | Henri Vandendriessche |
| collection | DOAJ |
| description | Behavioral results suggest that learning by trial-and-error (i.e., reinforcement learning) relies on a teaching signal, the prediction error, which quantifies the difference between the obtained and the expected reward. Evidence suggests that distinct cortico-striatal circuits are recruited to encode better-than-expected (positive prediction error) and worst-than-expected (negative prediction error) outcomes. A recent study by Villano et al.1 provides evidence for differential networks that underlie learning from positive and negative prediction errors in humans using real-life behavioral data. More specifically, they found that university students are more likely to update beliefs concerning grade expectations following positive rather than negative prediction errors. |
| first_indexed | 2024-04-10T15:42:00Z |
| format | Article |
| id | doaj.art-623e5253cd0f4f55a28833cc8ade7263 |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-04-10T15:42:00Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-623e5253cd0f4f55a28833cc8ade72632023-02-12T12:19:46ZengNature PortfolioCommunications Biology2399-36422023-02-01611210.1038/s42003-023-04544-4Neurocognitive biases from the lab to real lifeHenri Vandendriessche0Stefano Palminteri1Institut national de la santé et de la recherche médicale (INSERM) & École normale supérieure (ENS)Institut national de la santé et de la recherche médicale (INSERM) & École normale supérieure (ENS)Behavioral results suggest that learning by trial-and-error (i.e., reinforcement learning) relies on a teaching signal, the prediction error, which quantifies the difference between the obtained and the expected reward. Evidence suggests that distinct cortico-striatal circuits are recruited to encode better-than-expected (positive prediction error) and worst-than-expected (negative prediction error) outcomes. A recent study by Villano et al.1 provides evidence for differential networks that underlie learning from positive and negative prediction errors in humans using real-life behavioral data. More specifically, they found that university students are more likely to update beliefs concerning grade expectations following positive rather than negative prediction errors.https://doi.org/10.1038/s42003-023-04544-4 |
| spellingShingle | Henri Vandendriessche Stefano Palminteri Neurocognitive biases from the lab to real life Communications Biology |
| title | Neurocognitive biases from the lab to real life |
| title_full | Neurocognitive biases from the lab to real life |
| title_fullStr | Neurocognitive biases from the lab to real life |
| title_full_unstemmed | Neurocognitive biases from the lab to real life |
| title_short | Neurocognitive biases from the lab to real life |
| title_sort | neurocognitive biases from the lab to real life |
| url | https://doi.org/10.1038/s42003-023-04544-4 |
| work_keys_str_mv | AT henrivandendriessche neurocognitivebiasesfromthelabtoreallife AT stefanopalminteri neurocognitivebiasesfromthelabtoreallife |