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Temporally organized representations ofreward and risk in the humanbrain
Results
Behavior reflects knowledge of task structure and control for learning confounds
Decoding computational variables with multivariate neural signals
Distinct modes of temporal organization between value-based computations
Decoding of expected riskin OFC
Error computations across domains share a mixture of temporal configurations
Anterior insula representations of reward error can predict riskerror
Discussion
Methods
Participants
Experimental paradigm
Procedure
Recording
Imaging and contact localization
Preprocessing
Behavioral analysis
Computational analysis
Region of interest definition
Decoding analysis
Feature preprocessing
Pseudo-populationdesign
Decoding model and procedure
Statistical analysis
Confidence intervals
Feature importance
Decoding generalization
Reporting summary
Data availability
Code availability
References
Acknowledgements
Author contributions
Competing interests
Additional information
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