2018
DOI: 10.1016/j.neuron.2018.06.038
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Economic Choice as an Untangling of Options into Actions

Abstract: SUMMARY We propose that economic choice can be understood as a gradual transformation from domain of options to one of the actions. We draw an analogy with the idea of untangling information in the form vision system and propose that form vision and economic choice may be two aspects of a larger process that sculpts actions based on sensory inputs. From this viewpoint, choice results from the accumulated effect of repetitions of simple computations. These may consist primarily of relative valuations (evaluatio… Show more

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Cited by 115 publications
(138 citation statements)
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References 158 publications
(239 reference statements)
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“…That is, action nodes in the current ANM were not simply a mere 'output' system of higher-order decision-making areas, but instead, served as a neural hub that integrated different sources of decision-relevant information. In line with previous studies, multiple action representations evolved in parallel, in a dynamic and gradual manner that depended on the current state of evidence in favour of each action, and action selection was determined through a winner-take-all competition between these multiple co-existing affordances (Cisek & Kalaska, 2005;Cisek, 2007;Pastor-Bernier & Cisek, 2011;Selen, Shadlen, & Wolpert, 2012;Thura & Cisek, 2014;Yoo & Hayden, 2018). Moreover, motor outcomes of the model (i.e., simulated movement trajectories) affected subsequent decision updates by causing changes in motor costs (i.e., changes in distance to each target).…”
Section: Discussionsupporting
confidence: 57%
See 1 more Smart Citation
“…That is, action nodes in the current ANM were not simply a mere 'output' system of higher-order decision-making areas, but instead, served as a neural hub that integrated different sources of decision-relevant information. In line with previous studies, multiple action representations evolved in parallel, in a dynamic and gradual manner that depended on the current state of evidence in favour of each action, and action selection was determined through a winner-take-all competition between these multiple co-existing affordances (Cisek & Kalaska, 2005;Cisek, 2007;Pastor-Bernier & Cisek, 2011;Selen, Shadlen, & Wolpert, 2012;Thura & Cisek, 2014;Yoo & Hayden, 2018). Moreover, motor outcomes of the model (i.e., simulated movement trajectories) affected subsequent decision updates by causing changes in motor costs (i.e., changes in distance to each target).…”
Section: Discussionsupporting
confidence: 57%
“…Moreover, motor outcomes of the model (i.e., simulated movement trajectories) affected subsequent decision updates by causing changes in motor costs (i.e., changes in distance to each target). Thus, our model provides a common framework for decision making and action selection, and accounts for their reciprocal relation, instead of assuming strictly separate and serial processing of decisions and actions (Cisek, 2007;Rushworth, Kolling, Sallet, & Mars, 2012;Yoo & Hayden, 2018). In this context, the model makes further predictions that can be directly tested in future studies.…”
Section: Discussionmentioning
confidence: 99%
“…Monkeys evolved through natural selection processes to adaptively fit their environments, not to serve as scientific subjects. They are, nonetheless, invaluable, and their behavior, in particular, promises major advances, especially if it can be understood in ever more naturalistic contexts (12,(34)(35)(36)(37). Despite this, much biological research using them contorts their behavior to our convenience.…”
Section: Resultsmentioning
confidence: 99%
“…For example, seasonal timescales could be generated through circuit reverberations evoked by important task events and top-down signals and thus could depend on the dynamics of interactions between neurons in the circuit. Therefore, independence of intrinsic and seasonal timescales within individual neurons challenges the idea that their cortical hierarchies occur due to successive processing of information(Hunt and Hayden, 2017;Yoo and Hayden, 2018) and points to the importance of the heterogeneity of local circuits to which a neuron belongs(Chaudhuri et al, 2015)…”
mentioning
confidence: 99%