Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Peter, Dayan"'
Publikováno v:
Computational Psychiatry, Vol 8, Iss 1, Pp 159–177-159–177 (2024)
Humans need to be on their toes when interacting with competitive others to avoid being taken advantage of. Too much caution out of context can, however, be detrimental and produce false beliefs of intended harm. Here, we offer a formal account of th
Externí odkaz:
https://doaj.org/article/c106a91b19244941bc80b95d3e4e7c73
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1012060 (2024)
Some aspects of cognition are more taxing than others. Accordingly, many people will avoid cognitively demanding tasks in favor of simpler alternatives. Which components of these tasks are costly, and how much, remains unknown. Here, we use a novel t
Externí odkaz:
https://doaj.org/article/9754151c8f7c4ef0935e50caef8053e0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Unavoidable stress can lead to perceived lack of control and learned helplessness, a risk factor for depression. Avoiding punishment and gaining rewards involve updating the values of actions based on experience. Such updating is however use
Externí odkaz:
https://doaj.org/article/b6db0e024ac74f9097129a554bb02334
Publikováno v:
Cell Reports, Vol 42, Iss 8, Pp 113008- (2023)
Summary: In social environments, survival can depend upon inferring and adapting to other agents’ goal-directed behavior. However, it remains unclear how humans achieve this, despite the fact that many decisions must account for complex, dynamic ag
Externí odkaz:
https://doaj.org/article/db4c6ab432f84724901123caa4723522
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Humans adapt decision strategies in response to environmental demands. Here the authors show that decisions in a virtual foraging task can be modelled based on perceived patch value, which includes reward, competition and threat, and is associated wi
Externí odkaz:
https://doaj.org/article/e4ede8bb82de41edb144f55a3c17da2d
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 11, p e1009866 (2022)
Humans can implicitly learn complex perceptuo-motor skills over the course of large numbers of trials. This likely depends on our becoming better able to take advantage of ever richer and temporally deeper predictive relationships in the environment.
Externí odkaz:
https://doaj.org/article/fb4f38a473f8410fb290e5383110f8d6
Autor:
Elena Zamfir, Peter Dayan
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9, p e1009920 (2022)
Inferring causes of the good and bad events that we experience is part of the process of building models of our own capabilities and of the world around us. Making such inferences can be difficult because of complex reciprocal relationships between a
Externí odkaz:
https://doaj.org/article/21846506ac9140aeb291994216fd53a2
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8 (2022)
In evaluating our choices, we often suffer from two tragic relativities. First, when our lives change for the better, we rapidly habituate to the higher standard of living. Second, we cannot escape comparing ourselves to various relative standards. H
Externí odkaz:
https://doaj.org/article/b233a27e0ad44688927833fb194a67c1
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8, p e1010176 (2022)
Individuals prone to anxiety and depression often report beliefs and make judgements about themselves that are more negative than those reported by others. We use computational modeling of a richly naturalistic task to disentangle the role of negativ
Externí odkaz:
https://doaj.org/article/4b95312b235a4bac9818c799b520fe1f
Autor:
Vikki Neville, Jessica King, Iain D. Gilchrist, Peter Dayan, Elizabeth S. Paul, Michael Mendl
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-3 (2021)
Externí odkaz:
https://doaj.org/article/c175092ccd4348e3a89ea31467af072a