Testing models at the neural level reveals how the brain computes subjective value
Abstract
Decisions are based on the subjective values of choice options. However, subjective value is a theoretical construct and not directly observable. Strikingly, distinct theoretical models competing to explain how subjective values are assigned to choice options often make very similar behavioral predictions, which poses a major difficulty for establishing a mechanistic, biologically plausible explanation of decision-making based on behavior alone. Here, we demonstrate that model comparison at the neural level provides insights into model implementation during subjective value computation even though the distinct models parametrically identify common brain regions as computing subjective value. We show that frontal cortical regions implement a model based on the statistical distributions of available rewards, whereas intraparietal cortex and striatum compute subjective value signals according to a model based on distortions in the representations of probabilities. Thus, better mechanistic understanding of how cognitive processes are implemented arises from model comparisons at the neural level, over and above the traditional approach of comparing models at the behavioral level alone. Show more
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https://doi.org/10.3929/ethz-b-000513758Publication status
publishedExternal links
Journal / series
Proceedings of the National Academy of Sciences of the United States of AmericaVolume
Pages / Article No.
Publisher
National Academy of SciencesSubject
risk taking; physiological foundation of behavior; neural valuation systems; neuroeconomicsMore
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