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computational and behavioral modeling (cbm) toolbox  (MathWorks Inc)


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    MathWorks Inc computational and behavioral modeling (cbm) toolbox
    Computational And Behavioral Modeling (Cbm) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/computational and behavioral modeling (cbm) toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    computational and behavioral modeling (cbm) toolbox - by Bioz Stars, 2026-06
    90/100 stars

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    (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

    Journal: Cognitive, affective & behavioral neuroscience

    Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

    doi: 10.3758/s13415-019-00697-0

    Figure Lengend Snippet: (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

    Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

    Techniques: Blocking Assay

    (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

    Journal: Cognitive, affective & behavioral neuroscience

    Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

    doi: 10.3758/s13415-019-00697-0

    Figure Lengend Snippet: (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

    Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

    Techniques: