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Nat Neurosci. 2014 Nov;17(11):1613-22. doi: 10.1038/nn.3836. Epub 2014 Oct 12.

Hierarchical competitions subserving multi-attribute choice.

Author information

1
1] Wellcome Trust Centre for Neuroimaging, University College London, London, UK. [2] Sobell Department of Motor Neuroscience, University College London, London, UK.
2
Wellcome Trust Centre for Neuroimaging, University College London, London, UK.
3
1] Wellcome Trust Centre for Neuroimaging, University College London, London, UK. [2] Centre for Functional MRI of the Brain, University of Oxford, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.

Abstract

Valuation is a key tenet of decision neuroscience, where it is generally assumed that different attributes of competing options are assimilated into unitary values. Such values are central to current neural models of choice. By contrast, psychological studies emphasize complex interactions between choice and valuation. Principles of neuronal selection also suggest that competitive inhibition may occur in early valuation stages, before option selection. We found that behavior in multi-attribute choice is best explained by a model involving competition at multiple levels of representation. This hierarchical model also explains neural signals in human brain regions previously linked to valuation, including striatum, parietal and prefrontal cortex, where activity represents within-attribute competition, competition between attributes and option selection. This multi-layered inhibition framework challenges the assumption that option values are computed before choice. Instead, our results suggest a canonical competition mechanism throughout all stages of a processing hierarchy, not simply at a final choice stage.

PMID:
25306549
PMCID:
PMC4685756
DOI:
10.1038/nn.3836
[Indexed for MEDLINE]
Free PMC Article

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