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- W2135874509 abstract "Studying aversive behaviour is critical for understanding negative emotions and associated psychopathologies. However a comprehensive picture of the mechanisms underlying aversion is lacking, with associative learning theories focusing on Pavlovian reactions and decision-making theoretic approaches on prospective functions. We propose a computational model of aversion that combines goal-directed and Pavlovian forms of control into a unifying framework in which their relative importance is regulated by factors such as threat distance and controllability. Using simulations, we test whether the model can reproduce available empirical findings and discuss its relevance to understanding factors underlying negative emotions such as fear and anxiety. Furthermore, the specific method used to construct the model permits a natural mapping from its components to brain structure and function. Our model provides a basis for a unifying account of aversion that can guide empirical and interventional study contexts." @default.
- W2135874509 created "2016-06-24" @default.
- W2135874509 creator A5026197656 @default.
- W2135874509 creator A5048689229 @default.
- W2135874509 creator A5053290697 @default.
- W2135874509 date "2016-01-01" @default.
- W2135874509 modified "2023-09-26" @default.
- W2135874509 title "Prospective and Pavlovian mechanisms in aversive behaviour" @default.
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- W2135874509 doi "https://doi.org/10.1016/j.cognition.2015.10.017" @default.
- W2135874509 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4675632" @default.
- W2135874509 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26539969" @default.
- W2135874509 hasPublicationYear "2016" @default.
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