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---- ---- ---- ---- ---- ---- VBA graphical output  
---- ---- ---- ---- ---- ----  
---- ---- ---- ---- ---- ---- controlling the inversion using VBA options  
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---- ---- ---- ---- ---- ---- BMS for group studies  
---- ---- ---- ---- ---- ---- VBA model inversion in 4 steps  
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---- ---- ---- ---- ---- ---- Optimizing the experimental design  
---- ---- ---- ---- ---- ---- Advanced issues  
---- ---- ---- ---- ---- ---- The variational Bayesian approach  
---- ---- ---- ---- ---- ---- Neurobiological models  
---- ---- ---- ---- ---- ---- Comparing large spaces of nested models  
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---- ---- ---- ---- ---- ---- Bayesian modelling: introduction  
---- ---- ---- ---- ---- ---- Miscellaneous models  
---- ---- ---- ---- ---- ---- : Computational models: examples  
---- ---- ---- ---- ---- ---- VBA' output structure  
---- ---- ---- ---- ---- ---- Fast demo: Q-learning model  
---- ---- ---- ---- ---- ---- Behavioural/cognitive models  
---- ---- ---- ---- ---- ---- : VBA: quick introduction  
---- ---- ---- ---- ---- ---- More on VBA model inversion  
---- ---- ---- ---- ---- ---- structure of VBA's generative model  
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---- ---- ---- ---- ---- ---- reproducing the analysis with the toolbox  
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---- ---- ---- ---- ---- ---- One-sentence summary of this page.  
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