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Mapping value based planning and extensively trained choice in the human brain

Nature Neuroscience volume 15, pages 786–791 (2012)Cite this article

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Abstract

Investigations of the underlying mechanisms of choice in humans have focused on learning from prediction errors, leaving the computational structure of value based planning comparatively underexplored. Using behavioral and neuroimaging analyses of a minimax decision task, we found that the computational processes underlying forward planning are expressed in the anterior caudate nucleus as values of individual branching steps in a decision tree. In contrast, values represented in the putamen pertain solely to values learned during extensive training. During actual choice, both striatal areas showed a functional coupling to ventromedial prefrontal cortex, consistent with this region acting as a value comparator. Our findings point toward an architecture of choice in which segregated value systems operate in parallel in the striatum for planning and extensively trained choices, with medial prefrontal cortex integrating their outputs.

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Figure 1: Task and behavioral results.
Figure 2: Neural correlates of planning versus extensively trained choices.
Figure 3: Comparing values from planning and values from extensively trained mazes.
Figure 4: Functional coupling between caudate-vmPFC and putamen-vmPFC is significantly increased during choice in mixed trials.

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Acknowledgements

We thank W. Yoshida and J. Oberg for help with data acquisition, and N. Daw and M. Guitart Masip for their valuable and insightful comments on the manuscript. This study was supported by a Wellcome Trust Program Grant and Max Planck Award (R.J.D. and K.W.) and the Gatsby Charitable Foundation (P.D.). The Wellcome Trust Centre for Neuroimaging is supported by core funding from the Wellcome Trust (091593/Z/10/Z).

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Authors and Affiliations

  1. Wellcome Trust Center for Neuroimaging, University College London, London, UK

    Klaus Wunderlich & Raymond J Dolan

  2. Gatsby Computational Neuroscience Unit, University College London, London, UK

    Peter Dayan

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  1. Klaus Wunderlich
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  2. Peter Dayan
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K.W. and P.D. conceived the study. K.W. designed the task, performed the experiments and analyzed the data. K.W., P.D. and R.J.D. wrote the paper.

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Correspondence to Klaus Wunderlich.

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Wunderlich, K., Dayan, P. & Dolan, R. Mapping value based planning and extensively trained choice in the human brain. Nat Neurosci 15, 786–791 (2012). https://doi.org/10.1038/nn.3068

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