Literature DB >> 34060875

The case against economic values in the orbitofrontal cortex (or anywhere else in the brain).

Benjamin Y Hayden1, Yael Niv2.   

Abstract

Much of traditional neuroeconomics proceeds from the hypothesis that value is reified in the brain, that is, that there are neurons or brain regions whose responses serve the discrete purpose of encoding value. This hypothesis is supported by the finding that the activity of many neurons covaries with subjective value as estimated in specific tasks, and has led to the idea that the primary function of the orbitofrontal cortex is to compute and signal economic value. Here we consider an alternative: That economic value, in the cardinal, common-currency sense, is not represented in the brain and used for choice by default. This idea is motivated by consideration of the economic concept of value, which places important epistemic constraints on our ability to identify its neural basis. It is also motivated by the behavioral economics literature, especially work on heuristics, which proposes value-free process models for much if not all of choice. Finally, it is buoyed by recent neural and behavioral findings regarding how animals and humans learn to choose between options. In light of our hypothesis, we critically reevaluate putative neural evidence for the representation of value and explore an alternative: direct learning of action policies. We delineate how this alternative can provide a robust account of behavior that concords with existing empirical data. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Year:  2021        PMID: 34060875     DOI: 10.1037/bne0000448

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  15 in total

Review 1.  Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making.

Authors:  R Frömer; A Shenhav
Journal:  Neurosci Biobehav Rev       Date:  2021-12-10       Impact factor: 8.989

Review 2.  The learning of prospective and retrospective cognitive maps within neural circuits.

Authors:  Vijay Mohan K Namboodiri; Garret D Stuber
Journal:  Neuron       Date:  2021-10-21       Impact factor: 17.173

Review 3.  The population doctrine in cognitive neuroscience.

Authors:  R Becket Ebitz; Benjamin Y Hayden
Journal:  Neuron       Date:  2021-08-19       Impact factor: 18.688

4.  Value, confidence, deliberation: a functional partition of the medial prefrontal cortex demonstrated across rating and choice tasks.

Authors:  Nicolas Clairis; Mathias Pessiglione
Journal:  J Neurosci       Date:  2022-06-01       Impact factor: 6.709

5.  Human value learning and representation reflect rational adaptation to task demands.

Authors:  Keno Juechems; Tugba Altun; Rita Hira; Andreas Jarvstad
Journal:  Nat Hum Behav       Date:  2022-05-30

6.  Common and stimulus-type-specific brain representations of negative affect.

Authors:  Marta Čeko; Philip A Kragel; Choong-Wan Woo; Marina López-Solà; Tor D Wager
Journal:  Nat Neurosci       Date:  2022-05-30       Impact factor: 28.771

Review 7.  Toward a holistic view of value and social processing in the amygdala: Insights from primate behavioral neurophysiology.

Authors:  Philip T Putnam; Steve W C Chang
Journal:  Behav Brain Res       Date:  2021-05-11       Impact factor: 3.332

8.  Context-sensitive valuation and learning.

Authors:  Lindsay E Hunter; Nathaniel D Daw
Journal:  Curr Opin Behav Sci       Date:  2021-06-09

Review 9.  How we decide what to eat: Toward an interdisciplinary model of gut-brain interactions.

Authors:  Hilke Plassmann; Daniela Stephanie Schelski; Marie-Christine Simon; Leonie Koban
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2021-05-11

10.  Neuroscience needs evolution.

Authors:  Paul Cisek; Benjamin Y Hayden
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-27       Impact factor: 6.237

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