2017
DOI: 10.1038/nrn.2017.7
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A distributed, hierarchical and recurrent framework for reward-based choice

Abstract: Many accounts of reward-based choice argue for distinct component processes that are serial and functionally localized. In this 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 of neuroanatomy may support the implementation of choice, including mutual inhibition in recurrent neural networks and the hierarchical organisation of timescales for information processing across the corte… Show more

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Cited by 229 publications
(250 citation statements)
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References 156 publications
(218 reference statements)
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“…An advantage of viewing decision making through the lens of foraging is that it provides a new perspective on the fundamental meaning of value, one of the important philosophical problems of neuroeconomics (Hunt & Hayden, 2017; Levy & Glimcher, 2012; O’Doherty, 2011; Schultz, 2008; Wallis & Rich, 2011). Specifically, it suggests that value is not a single entity, but a convenient name for a variety of constituent cognitive processes.…”
Section: Discussionmentioning
confidence: 99%
“…An advantage of viewing decision making through the lens of foraging is that it provides a new perspective on the fundamental meaning of value, one of the important philosophical problems of neuroeconomics (Hunt & Hayden, 2017; Levy & Glimcher, 2012; O’Doherty, 2011; Schultz, 2008; Wallis & Rich, 2011). Specifically, it suggests that value is not a single entity, but a convenient name for a variety of constituent cognitive processes.…”
Section: Discussionmentioning
confidence: 99%
“…As the decision-maker deliberates and begins to favor of one the options, the representation of that action grows stronger until a decision threshold is reached (Cisek, 2006; Cisek and Kalaska, 2005; Thura and Cisek, 2014). These observations suggest that these regions are not simply waiting around for the results of the comparison to occur, but that the preparation and comparison take place—in part—within motor regions (Cisek, 2012; Cisek and Pastor-Bemier, 2014; Hunt and Hayden, 2017; Kaufman et al, 2014; see also Peixoto et al, 2018). …”
Section: The Reward System and The Motor Systemmentioning
confidence: 99%
“…The reward system integrates across dimensions to generate abstract decision variables; that is, ones that are correlated with value (e.g. Barron et al, 2017; Blanchard et al, 2015; Fellows, 2006; Hayden, 2016; Hunt and Hayden, 2017; Raghuraman and Padoa-Schioppa, 2014; Strait et al, 2014; Suzuki et al, 2017). However, unlike the visual system, which has only one major input locus—the eyes—the reward system has many inputs.…”
Section: Untangling Information In Form Visionmentioning
confidence: 99%
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