Matches in SemOpenAlex for { <https://semopenalex.org/work/W3214924293> ?p ?o ?g. }
- W3214924293 abstract "Abstract What fundamental property of our environment would be most valuable and optimal in characterizing the emotional dynamics we experience in our daily life? Empirical work has shown that an accurate estimation of uncertainty is necessary for our optimal perception, learning, and decision-making. However, the role of this uncertainty in governing our affective dynamics remains unexplored. Using Bayesian encoding, decoding and computational modelling, we show that emotional experiences naturally arise due to ongoing uncertainty estimations in a hierarchical neural architecture. This hierarchical organization involves a number of prefrontal sub-regions, with the lateral orbitofrontal cortex having the highest representational complexity of uncertainty. Crucially, this representational complexity, was sensitive to temporal fluctuations in uncertainty and was predictive of participants’ predisposition to anxiety. Furthermore, the temporal dynamics of uncertainty revealed a distinct functional double dissociation within the OFC. Specifically, the medial OFC showed higher connectivity with the DMN, while the lateral OFC with that of the FPN in response to the evolving affect. Finally, we uncovered a temporally predictive code updating individual’s beliefs swiftly in the face of fluctuating uncertainty in the lateral OFC. A biologically relevant and computationally crucial parameter in theories of brain function, we extend uncertainty to be a defining component of complex emotions." @default.
- W3214924293 created "2021-12-06" @default.
- W3214924293 creator A5040759324 @default.
- W3214924293 creator A5043301025 @default.
- W3214924293 creator A5044328799 @default.
- W3214924293 creator A5058109737 @default.
- W3214924293 date "2021-12-02" @default.
- W3214924293 modified "2023-09-27" @default.
- W3214924293 title "Emotion Dynamics as Hierarchical Bayesian Inference in Time" @default.
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- W3214924293 doi "https://doi.org/10.1101/2021.11.30.470667" @default.
- W3214924293 hasPublicationYear "2021" @default.