Literature DB >> 34902441

Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making.

R Frömer1, A Shenhav2.   

Abstract

While often seeming to investigate rather different problems, research into value-based decision making and cognitive control have historically offered parallel insights into how people select thoughts and actions. While the former studies how people weigh costs and benefits to make a decision, the latter studies how they adjust information processing to achieve their goals. Recent work has highlighted ways in which decision-making research can inform our understanding of cognitive control. Here, we provide the complementary perspective: how cognitive control research has informed understanding of decision-making. We highlight three particular areas of research where this critical interchange has occurred: (1) how different types of goals shape the evaluation of choice options, (2) how people use control to adjust the ways they make their decisions, and (3) how people monitor decisions to inform adjustments to control at multiple levels and timescales. We show how adopting this alternate viewpoint offers new insight into the determinants of both decisions and control; provides alternative interpretations for common neuroeconomic findings; and generates fruitful directions for future research.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attention; Choice conflict; Metacognition; Performance monitoring; Reward

Mesh:

Year:  2021        PMID: 34902441      PMCID: PMC8844247          DOI: 10.1016/j.neubiorev.2021.12.006

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  249 in total

1.  Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold.

Authors:  James F Cavanagh; Thomas V Wiecki; Michael X Cohen; Christina M Figueroa; Johan Samanta; Scott J Sherman; Michael J Frank
Journal:  Nat Neurosci       Date:  2011-09-25       Impact factor: 24.884

2.  Dopamine-mediated reinforcement learning signals in the striatum and ventromedial prefrontal cortex underlie value-based choices.

Authors:  Gerhard Jocham; Tilmann A Klein; Markus Ullsperger
Journal:  J Neurosci       Date:  2011-02-02       Impact factor: 6.167

3.  Confidence predicts speed-accuracy tradeoff for subsequent decisions.

Authors:  Kobe Desender; Annika Boldt; Tom Verguts; Tobias H Donner
Journal:  Elife       Date:  2019-08-20       Impact factor: 8.140

Review 4.  Does Attention Increase the Value of Choice Alternatives?

Authors:  Milica Mormann; J Edward Russo
Journal:  Trends Cogn Sci       Date:  2021-02-03       Impact factor: 20.229

5.  Metacognitive evaluation in the avoidance of demand.

Authors:  Timothy L Dunn; David J C Lutes; Evan F Risko
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-04-28       Impact factor: 3.332

6.  Cognitive regulation alters social and dietary choice by changing attribute representations in domain-general and domain-specific brain circuits.

Authors:  Anita Tusche; Cendri A Hutcherson
Journal:  Elife       Date:  2018-05-29       Impact factor: 8.140

7.  Absolutely relative or relatively absolute: violations of value invariance in human decision making.

Authors:  Andrei R Teodorescu; Rani Moran; Marius Usher
Journal:  Psychon Bull Rev       Date:  2016-02

8.  Reward rate optimization in two-alternative decision making: empirical tests of theoretical predictions.

Authors:  Patrick Simen; David Contreras; Cara Buck; Peter Hu; Philip Holmes; Jonathan D Cohen
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-12       Impact factor: 3.332

9.  Rats exhibit similar biases in foraging and intertemporal choice tasks.

Authors:  Gary A Kane; Aaron M Bornstein; Amitai Shenhav; Robert C Wilson; Nathaniel D Daw; Jonathan D Cohen
Journal:  Elife       Date:  2019-09-18       Impact factor: 8.140

10.  Rational metareasoning and the plasticity of cognitive control.

Authors:  Falk Lieder; Amitai Shenhav; Sebastian Musslick; Thomas L Griffiths
Journal:  PLoS Comput Biol       Date:  2018-04-25       Impact factor: 4.475

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