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oai:figshare.com:article/34000371 2026-09-25T17:54:36Z category_7 category_15 category_45 category_734 category_122 portal_5 item_type_3 month_year_09_2026

<p>Parameter Regression Coefficients and Effect Sizes.</p> Wenting Wang (2274556) Tobias Kaufmann (297371) Peter Dayan (26734) Medicine Neuroscience Sociology Biological Sciences not elsewhere classified Mental Health widely used paradigm study baseline cohort similar clinical characteristics raw behavioral data optimal control balanced modern experimental designs mean reaction times impairments often observed extensive validation confirms decomposing response inhibition stop signal task overlooking crucial trial independent race model higher adhd scores trial dynamics stop error adhd questionnaires adhd ). two components time costs tesbi ). robust shifts psychiatric conditions potential costs pomdp ). medication status level posteriors introduce transformer identifiable parameters heterogeneously distributed go error frequently violated extracts reliable encoded simulation enables efficient driven solution diverse combinations dimensional perspective conventional formalizations continuous manifold computational mechanisms computational attributes cognitive tasks broader range blunted sensitivity based inference aware embeddings analyzing large amortized inference 567 ), <p>Parameter Regression Coefficients and Effect Sizes.</p> 2026-09-25T17:54:21Z Dataset Dataset 10.1371/journal.pcbi.1014068.t004 https://figshare.com/articles/dataset/_p_Parameter_Regression_Coefficients_and_Effect_Sizes_p_/34000371 CC BY 4.0