Literature DB >> 16845435

Physiological utility theory and the neuroeconomics of choice.

Paul W Glimcher1, Michael C Dorris, Hannah M Bayer.   

Abstract

Over the past half century economists have responded to the challenges of Allais [Econometrica (1953) 53], Ellsberg [Quart. J. Econ. (1961) 643] and others raised to neoclassicism either by bounding the reach of economic theory or by turning to descriptive approaches. While both of these strategies have been enormously fruitful, neither has provided a clear programmatic approach that aspires to a complete understanding of human decision making as did neoclassicism. There is, however, growing evidence that economists and neurobiologists are now beginning to reveal the physical mechanisms by which the human neuroarchitecture accomplishes decision making. Although in their infancy, these studies suggest both a single unified framework for understanding human decision making and a methodology for constraining the scope and structure of economic theory. Indeed, there is already evidence that these studies place mathematical constraints on existing economic models. This article reviews some of those constraints and suggests the outline of a neuroeconomic theory of decision.

Entities:  

Year:  2005        PMID: 16845435      PMCID: PMC1502377          DOI: 10.1016/j.geb.2004.06.011

Source DB:  PubMed          Journal:  Games Econ Behav        ISSN: 0899-8256


  31 in total

1.  Prefrontal, parietal, and temporal cortex networks underlie decision-making in the presence of uncertainty.

Authors:  M P Paulus; N Hozack; B Zauscher; J E McDowell; L Frank; G G Brown; D L Braff
Journal:  Neuroimage       Date:  2001-01       Impact factor: 6.556

Review 2.  The neurobiology of visual-saccadic decision making.

Authors:  Paul W Glimcher
Journal:  Annu Rev Neurosci       Date:  2003       Impact factor: 12.449

3.  Success and failure suppressing reflexive behavior.

Authors:  Clayton E Curtis; Mark D'Esposito
Journal:  J Cogn Neurosci       Date:  2003-04-01       Impact factor: 3.225

4.  Relative and absolute strength of response as a function of frequency of reinforcement.

Authors:  R J HERRNSTEIN
Journal:  J Exp Anal Behav       Date:  1961-07       Impact factor: 2.468

5.  A computational analysis of the relationship between neuronal and behavioral responses to visual motion.

Authors:  M N Shadlen; K H Britten; W T Newsome; J A Movshon
Journal:  J Neurosci       Date:  1996-02-15       Impact factor: 6.167

Review 6.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

Review 7.  Getting formal with dopamine and reward.

Authors:  Wolfram Schultz
Journal:  Neuron       Date:  2002-10-10       Impact factor: 17.173

8.  Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey.

Authors:  M N Shadlen; W T Newsome
Journal:  J Neurophysiol       Date:  2001-10       Impact factor: 2.714

9.  Neural control of voluntary movement initiation.

Authors:  D P Hanes; J D Schall
Journal:  Science       Date:  1996-10-18       Impact factor: 47.728

10.  The statistical reliability of signals in single neurons in cat and monkey visual cortex.

Authors:  D J Tolhurst; J A Movshon; A F Dean
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

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  49 in total

Review 1.  A computational framework for the study of confidence in humans and animals.

Authors:  Adam Kepecs; Zachary F Mainen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-05-19       Impact factor: 6.237

2.  Comparing apples and oranges: using reward-specific and reward-general subjective value representation in the brain.

Authors:  Dino J Levy; Paul W Glimcher
Journal:  J Neurosci       Date:  2011-10-12       Impact factor: 6.167

3.  Economic choices can be made using only stimulus values.

Authors:  Klaus Wunderlich; Antonio Rangel; John P O'Doherty
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-09       Impact factor: 11.205

4.  Population response profiles in early visual cortex are biased in favor of more valuable stimuli.

Authors:  John T Serences; Sameer Saproo
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

5.  Neurons in the orbitofrontal cortex encode economic value.

Authors:  Camillo Padoa-Schioppa; John A Assad
Journal:  Nature       Date:  2006-04-23       Impact factor: 49.962

6.  Aging and intraindividual variability in performance: analyses of response time distributions.

Authors:  Joel Myerson; Shannon Robertson; Sandra Hale
Journal:  J Exp Anal Behav       Date:  2007-11       Impact factor: 2.468

7.  The representation of economic value in the orbitofrontal cortex is invariant for changes of menu.

Authors:  Camillo Padoa-Schioppa; John A Assad
Journal:  Nat Neurosci       Date:  2007-12-09       Impact factor: 24.884

8.  Contributions of orbitofrontal and lateral prefrontal cortices to economic choice and the good-to-action transformation.

Authors:  Xinying Cai; Camillo Padoa-Schioppa
Journal:  Neuron       Date:  2014-02-13       Impact factor: 17.173

9.  The Iowa Gambling Task in fMRI images.

Authors:  Xiangrui Li; Zhong-Lin Lu; Arnaud D'Argembeau; Marie Ng; Antoine Bechara
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

Review 10.  Neuroethology of decision-making.

Authors:  Geoffrey K Adams; Karli K Watson; John Pearson; Michael L Platt
Journal:  Curr Opin Neurobiol       Date:  2012-08-16       Impact factor: 6.627

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