A distributed, hierarchical and recurrent framework for reward-based choice

Nature Reviews Neuroscience 18, 172 (2017). doi:10.1038/nrn.2017.7 Authors: Laurence T. Hunt & Benjamin Y. Hayden Many accounts of reward-based choice argue for distinct component processes that are serial and functionally localized. In this Opinion article, we argue for an alternative viewpoint, in which choices emerge from repeated computations that are distributed across many brain regions. We emphasize how several features
Source: Nature Reviews Neuroscience - Category: Neuroscience Authors: Tags: Perspectives Source Type: research