Neural computations associated with goal-directed choice.

By Antonio Rangel, Todd A. Hare. Current Opinion in Neurobiology, 2010

536 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/1f4bc069b054b0f0cc977d77666609cac012aee2

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Credit Assignment in Multiple Goal Embodied Visuomotor Behavior (2010, background): “This type of action selection has been shown to model human behavior well in a variety of single goal decision making tasks (Daw et al., 2006; Rangel and Hare, 2010).”
Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates. (2012, background): “Indeed, as reviewed later, efforts have been made to adapt the framework to reward-based decision making (Rangel & Hare, 2010; Rustichini, 2008; Usher, Elhalal, & McClelland, 2008).”
Social and monetary reward learning engage overlapping neural substrates. (2012, background): “…to the different stimuli associated with each choice option [which we refer to as stimulus values (SV)]; these are subsequently compared in order to choose the option with the highest value (Wallis, 2007; Rangel et al., 2008; Kable and Glimcher, 2009; Rushworth et al., 2009; Rangel and Hare, 2010).”
An opportunity cost model of subjective effort and task performance (2013, unknown): “Cost/ benefit signals are most prominent in the orbital and medial sectors of the prefrontal cortex and the corresponding ventral sectors of the striatum (Kable & Glimcher 2009; Lee et al. 2007; Rangel et al. 2008; Rangel & Hare 2010).”
Informatic parcellation of the network involved in the computation of subjective value. (2014, background): “These distinct computational roles for ACC and DMPFC, coupled with those areas appearing in comparatively few contrasts of interest in fMRI studies of simple choice, are likely reasons for their absence in our results.”
NEUROBIOLOGY OF ECONOMIC CHOICE: A GOOD-BASED MODEL (2011, methodology): “Thus the good-based model is in contrast with actionbased models, according to which choices are ultimately made by comparing the value of different action plans (Glimcher et al. 2005, Rangel & Hare 2010).”
Confidence in value-based choice (2012, methodology): “This analysis showed main effects of ∣DV∣ and confidence in vmPFC, but importantly no interaction (2×2 ANOVA with factors value, confidence: main effect of value: F(1,19) = 5.”
Emotion and the Prefrontal Cortex: An Integrative Review (2017, background): “Reinforcement learning models suggest that there is an appraisal mechanism that assigns value to actions based on the outcomes they are likely to produce, and the amount of effort they require (Rangel & Hare, 2010; Rushworth et al., 2007; Sutton & Barto, 1998).”
The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value (2013, unknown): “This finding reinforces the widely emphasized role of VMPFC in value-based decision making (e.g., Rangel and Hare, 2010) and supports the importance of continued research to understand the computational functions supported by this cortical structure.”
Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex (2011, background): “A number of brain regions have been implicated in the representation of value during learning and decision making [17,26], but in general the focus has been on the choices that participants make and the rewards they experience.”
The Computation of Stimulus Values in Simple Choice (2014, background): “For reviews of AC and AV coding see Chapter 21 of this volume or (Rangel and Hare, 2010; Rushworth et al., 2011; Wallis and Kennerley, 2010).”
The expected value of control: An integrative theory of anterior cingulate cortex function (2013, unknown): “…that is represented in other structures, such as ventral regions of mPFC (Floresco et al., 2008; Haber and Knutson, 2010; Prévost et al., 2010; Rangel and Hare, 2010; Rushworth et al., 2011). dACC and the Cost of Cognitive Control The expected value of a control-demanding behavior depends…”