Literature DB >> 21736459

Vigor in the face of fluctuating rates of reward: an experimental examination.

Marc Guitart-Masip1, Ulrik R Beierholm, Raymond Dolan, Emrah Duzel, Peter Dayan.   

Abstract

Two fundamental questions underlie the expression of behavior, namely what to do and how vigorously to do it. The former is the topic of an overwhelming wealth of theoretical and empirical work particularly in the fields of reinforcement learning and decision-making, with various forms of affective prediction error playing key roles. Although vigor concerns motivation, and so is the subject of many empirical studies in diverse fields, it has suffered a dearth of computational models. Recently, Niv et al. [Niv, Y., Daw, N. D., Joel, D., & Dayan, P. Tonic dopamine: Opportunity costs and the control of response vigor. Psychopharmacology (Berlin), 191, 507-520, 2007] suggested that vigor should be controlled by the opportunity cost of time, which is itself determined by the average rate of reward. This coupling of reward rate and vigor can be shown to be optimal under the theory of average return reinforcement learning for a particular class of tasks but may also be a more general, perhaps hard-wired, characteristic of the architecture of control. We, therefore, tested the hypothesis that healthy human participants would adjust their RTs on the basis of the average rate of reward. We measured RTs in an odd-ball discrimination task for rewards whose magnitudes varied slowly but systematically. Linear regression on the subjects' individual RTs using the time varying average rate of reward as the regressor of interest, and including nuisance regressors such as the immediate reward in a round and in the preceding round, showed that a significant fraction of the variance in subjects' RTs could indeed be explained by the rate of experienced reward. This validates one of the key proposals associated with the model, illuminating an apparently mandatory form of coupling that may involve tonic levels of dopamine.

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Year:  2011        PMID: 21736459     DOI: 10.1162/jocn_a_00090

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  38 in total

1.  Control of movement vigor and decision making during foraging.

Authors:  Tehrim Yoon; Robert B Geary; Alaa A Ahmed; Reza Shadmehr
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

2.  Dopamine modulates reward-related vigor.

Authors:  Ulrik Beierholm; Marc Guitart-Masip; Marcos Economides; Rumana Chowdhury; Emrah Düzel; Ray Dolan; Peter Dayan
Journal:  Neuropsychopharmacology       Date:  2013-02-18       Impact factor: 7.853

3.  Social motivation in schizophrenia: The impact of oxytocin on vigor in the context of social and nonsocial reinforcement.

Authors:  Daniel Fulford; Michael Treadway; Joshua Woolley
Journal:  J Abnorm Psychol       Date:  2018-01

4.  Dopaminergic Modulation of Human Intertemporal Choice: A Diffusion Model Analysis Using the D2-Receptor Antagonist Haloperidol.

Authors:  Ben Wagner; Mareike Clos; Tobias Sommer; Jan Peters
Journal:  J Neurosci       Date:  2020-09-18       Impact factor: 6.167

5.  Effects of average reward rate on vigor as a function of individual variation in striatal dopamine.

Authors:  Lieke Hofmans; Andrew Westbrook; Ruben van den Bosch; Jan Booij; Robbert-Jan Verkes; Roshan Cools
Journal:  Psychopharmacology (Berl)       Date:  2021-11-04       Impact factor: 4.530

6.  Learning the opportunity cost of time in a patch-foraging task.

Authors:  Sara M Constantino; Nathaniel D Daw
Journal:  Cogn Affect Behav Neurosci       Date:  2015-12       Impact factor: 3.282

7.  The Differential Impact of a Response's Effectiveness and its Monetary Value on Response-Selection.

Authors:  Noam Karsh; Eitan Hemed; Orit Nafcha; Shirel Bakbani Elkayam; Ruud Custers; Baruch Eitam
Journal:  Sci Rep       Date:  2020-02-25       Impact factor: 4.379

8.  Dopamine Manipulation Affects Response Vigor Independently of Opportunity Cost.

Authors:  Alexandre Zénon; Sophie Devesse; Etienne Olivier
Journal:  J Neurosci       Date:  2016-09-14       Impact factor: 6.167

9.  Synchronization of medial temporal lobe and prefrontal rhythms in human decision making.

Authors:  Marc Guitart-Masip; Gareth R Barnes; Aidan Horner; Markus Bauer; Raymond J Dolan; Emrah Duzel
Journal:  J Neurosci       Date:  2013-01-09       Impact factor: 6.167

10.  Cognitive Control as a Multivariate Optimization Problem.

Authors:  Harrison Ritz; Xiamin Leng; Amitai Shenhav
Journal:  J Cogn Neurosci       Date:  2022-03-05       Impact factor: 3.225

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