Literature DB >> 32374201

Saccade vigor and the subjective economic value of visual stimuli.

Tehrim Yoon1, Afareen Jaleel1, Alaa A Ahmed2, Reza Shadmehr1.   

Abstract

Decisions are made based on the subjective value that the brain assigns to options. However, subjective value is a mathematical construct that cannot be measured directly, but rather is inferred from choices. Recent results have demonstrated that reaction time, amplitude, and velocity of movements are modulated by reward, raising the possibility that there is a link between how the brain evaluates an option and how it controls movements toward that option. Here, we asked people to choose among risky options represented by abstract stimuli, some associated with gain (points in a game), and others with loss. From their choices we estimated the subjective value that they assigned to each stimulus. In probe trials, a single stimulus appeared at center, instructing subjects to make a saccade to a peripheral target. We found that the reaction time, peak velocity, and amplitude of the peripherally directed saccade varied roughly linearly with the subjective value that the participant had assigned to the central stimulus: reaction time was shorter, velocity was higher, and amplitude was larger for stimuli that the participant valued more. Naturally, participants differed in how much they valued a given stimulus. Remarkably, those who valued a stimulus more, as evidenced by their choices in decision trials, tended to move with shorter reaction time and greater velocity in response to that stimulus in probe trials. Overall, the reaction time of the saccade in response to a stimulus partly predicted the subjective value that the brain assigned to that stimulus.NEW & NOTEWORTHY Behavioral economics relies on subjective evaluation, an abstract quantity that cannot be measured directly but must be inferred by fitting decision models to the choice patterns. Here, we present a new approach to estimate subjective value: with nothing to fit, we show that it is possible to estimate subjective value based on movement kinematics, providing a modest ability to predict a participant's preferences without prior measurement of their choice patterns.

Entities:  

Keywords:  decision making; motor control; subjective value; vigor

Year:  2020        PMID: 32374201      PMCID: PMC7311721          DOI: 10.1152/jn.00700.2019

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  36 in total

1.  Expectation of reward modulates cognitive signals in the basal ganglia.

Authors:  R Kawagoe; Y Takikawa; O Hikosaka
Journal:  Nat Neurosci       Date:  1998-09       Impact factor: 24.884

2.  Midbrain dopamine neurons encode a quantitative reward prediction error signal.

Authors:  Hannah M Bayer; Paul W Glimcher
Journal:  Neuron       Date:  2005-07-07       Impact factor: 17.173

3.  Neuronal activity in monkey superior colliculus related to the initiation of saccadic eye movements.

Authors:  M C Dorris; M Paré; D P Munoz
Journal:  J Neurosci       Date:  1997-11-01       Impact factor: 6.167

4.  Novelty enhances visual salience independently of reward in the parietal lobe.

Authors:  Nicholas C Foley; David C Jangraw; Christopher Peck; Jacqueline Gottlieb
Journal:  J Neurosci       Date:  2014-06-04       Impact factor: 6.167

5.  Dopamine neuron activity before action initiation gates and invigorates future movements.

Authors:  Joaquim Alves da Silva; Fatuel Tecuapetla; Vitor Paixão; Rui M Costa
Journal:  Nature       Date:  2018-01-31       Impact factor: 49.962

6.  Role of expected reward in frontal eye field during natural scene search.

Authors:  Joshua I Glaser; Daniel K Wood; Patrick N Lawlor; Pavan Ramkumar; Konrad P Kording; Mark A Segraves
Journal:  J Neurophysiol       Date:  2016-05-11       Impact factor: 2.714

Review 7.  Movement Vigor as a Reflection of Subjective Economic Utility.

Authors:  Reza Shadmehr; Thomas R Reppert; Erik M Summerside; Tehrim Yoon; Alaa A Ahmed
Journal:  Trends Neurosci       Date:  2019-03-13       Impact factor: 13.837

8.  In monkeys making value-based decisions, LIP neurons encode cue salience and not action value.

Authors:  Marvin L Leathers; Carl R Olson
Journal:  Science       Date:  2012-10-05       Impact factor: 47.728

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 intrinsic value of visual information affects saccade velocities.

Authors:  Minnan Xu-Wilson; David S Zee; Reza Shadmehr
Journal:  Exp Brain Res       Date:  2009-06-14       Impact factor: 1.972

View more
  5 in total

1.  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

2.  The cost of correcting for error during sensorimotor adaptation.

Authors:  Ehsan Sedaghat-Nejad; Reza Shadmehr
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-05       Impact factor: 12.779

3.  How the value of the environment controls persistence in visual search.

Authors:  Michael R Traner; Ethan S Bromberg-Martin; Ilya E Monosov
Journal:  PLoS Comput Biol       Date:  2021-12-14       Impact factor: 4.475

4.  Synchronous spiking of cerebellar Purkinje cells during control of movements.

Authors:  Ehsan Sedaghat-Nejad; Jay S Pi; Paul Hage; Mohammad Amin Fakharian; Reza Shadmehr
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-29       Impact factor: 12.779

Review 5.  Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Authors:  Koenraad Vandevoorde; Lukas Vollenkemper; Constanze Schwan; Martin Kohlhase; Wolfram Schenck
Journal:  Sensors (Basel)       Date:  2022-03-23       Impact factor: 3.576

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.