Hierarchical competitions subserving multi-attribute choice

Description: Contrast maps for the paper 'Hierarchical competitions subserving multi-attribute choice', Hunt LT et al., Nature Neuroscience 2014. Paper 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.

Related article: http://doi.org/10.1038/nn.3836

View ID Name Type
Field Value
Compact Identifierhttps://identifiers.org/neurovault.collection:122
Add DateSept. 12, 2014, 12:39 a.m.
Uploaded bylaurencehunt
Related article DOI10.1038/nn.3836
Related article authorsLaurence T Hunt, Raymond J Dolan and Timothy E J Behrens
Citation guidelines

If you use the data from this collection please include the following persistent identifier in the text of your manuscript:


This will help to track the use of this data in the literature. In addition, consider also citing the paper related to this collection.