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Transdiagnostic Mechanisms of Mental Health: Insights from Computational Modeling| title | Transdiagnostic Mechanisms of Mental Health: Insights from Computational Modeling |
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| start_date | 2026/01/19 |
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| schedule | 15h15 |
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| online | no |
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| location_info | Room B10 |
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| summary | To what extent can computational models of learning truly capture the mechanisms of mental health? I will present computational insights into transdiagnostic dimensions, such as negative affective bias and control-seeking, that cut across traditional psychiatric diagnoses. However, the utility of this approach has been recently called into question. I will therefore go on to present a large online study that stress-tests the implicit assumptions of computational psychiatry, offering a critical perspective on current limitations and providing a roadmap for more robust modeling practices. |
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| responsibles | Allen |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2026/01/06 13:58 UTC |
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