Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users

This study elucidated the computational mechanisms underlying suboptimal instrumental learning in individuals with PSMU. These findings not only highlight the potential of computational modeling to advance our understanding of PSMU, but also shed new light on the development of effective interventions for this disorder.

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Publication Details

Journal
Journal of Behavioral Addictions
Published
2025-04-08
DOI
https://doi.org/10.1556/2006.2025.00026
Citations
3
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
6.35

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article

Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users

Yuan‐Wei Yao, Zhihao Song, Sixing Chen, Lu Liu et al.
3 citations
Journal of Behavioral Addictions
Mental Health Research Topics
6.35
article

Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users

Yuan‐Wei Yao, Zhihao Song, Sixing Chen, Lu Liu, Han Yang, Yingxin Pang
article en
3 citations

Abstract

This study elucidated the computational mechanisms underlying suboptimal instrumental learning in individuals with PSMU. These findings not only highlight the potential of computational modeling to advance our understanding of PSMU, but also shed new light on the development of effective interventions for this disorder.

Journal of Behavioral AddictionsVol. 14(2)
Sun Yat-sen University (CN), University of Hong Kong (HK)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Mental Health Research Topics
6.35
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