Yon, Daniel and Frith, C.D. (2021) Precision and the Bayesian brain. Current Biology 31 (17), R1026-R1032. ISSN 0960-9822.
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YonFrith_PrecisionPrimer_AcceptedMS.pdf - Author's Accepted Manuscript Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (434kB) | Preview |
Official URL: https://doi.org/10.1016/j.cub.2021.07.044
Abstract
In this Primer, Daniel Yon and Chris Frith explain ‘precision’ – a key concept in Bayesian models of the mind and brain. The idea of precision is central to current thinking across the cognitive sciences, but in recent years ideas about precision have begun to change. This raises important questions about precisely how precision works.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | Precision, uncertainty, perception, prediction, learning, metacognition, social cognition, Bayesian brain |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Depositing User: | Daniel Yon |
| Date Deposited: | 05 Nov 2021 14:25 |
| Last Modified: | 02 Aug 2023 18:13 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/46510 |
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