Literature DB >> 21808009

Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions.

Ian Krajbich1, Antonio Rangel.   

Abstract

How do we make decisions when confronted with several alternatives (e.g., on a supermarket shelf)? Previous work has shown that accumulator models, such as the drift-diffusion model, can provide accurate descriptions of the psychometric data for binary value-based choices, and that the choice process is guided by visual attention. However, the computational processes used to make choices in more complicated situations involving three or more options are unknown. We propose a model of trinary value-based choice that generalizes what is known about binary choice, and test it using an eye-tracking experiment. We find that the model provides a quantitatively accurate description of the relationship between choice, reaction time, and visual fixation data using the same parameters that were estimated in previous work on binary choice. Our findings suggest that the brain uses similar computational processes to make binary and trinary choices.

Mesh:

Year:  2011        PMID: 21808009      PMCID: PMC3158210          DOI: 10.1073/pnas.1101328108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  A comparison of sequential sampling models for two-choice reaction time.

Authors:  Roger Ratcliff; Philip L Smith
Journal:  Psychol Rev       Date:  2004-04       Impact factor: 8.934

2.  Visual fixations and the computation and comparison of value in simple choice.

Authors:  Ian Krajbich; Carrie Armel; Antonio Rangel
Journal:  Nat Neurosci       Date:  2010-09-12       Impact factor: 24.884

3.  The timing of perceptual decisions for ambiguous face stimuli in the human ventral visual cortex.

Authors:  Thomas J McKeeff; Frank Tong
Journal:  Cereb Cortex       Date:  2006-04-28       Impact factor: 5.357

4.  The basal ganglia and cortex implement optimal decision making between alternative actions.

Authors:  Rafal Bogacz; Kevin Gurney
Journal:  Neural Comput       Date:  2007-02       Impact factor: 2.026

5.  Evidence for time-variant decision making.

Authors:  Jochen Ditterich
Journal:  Eur J Neurosci       Date:  2006-12       Impact factor: 3.386

Review 6.  The diffusion decision model: theory and data for two-choice decision tasks.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  Neural Comput       Date:  2008-04       Impact factor: 2.026

Review 7.  A framework for studying the neurobiology of value-based decision making.

Authors:  Antonio Rangel; Colin Camerer; P Read Montague
Journal:  Nat Rev Neurosci       Date:  2008-06-11       Impact factor: 34.870

8.  Perceptual decisions between multiple directions of visual motion.

Authors:  Mamiko Niwa; Jochen Ditterich
Journal:  J Neurosci       Date:  2008-04-23       Impact factor: 6.167

9.  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

10.  Microstimulation of macaque area LIP affects decision-making in a motion discrimination task.

Authors:  Timothy D Hanks; Jochen Ditterich; Michael N Shadlen
Journal:  Nat Neurosci       Date:  2006-04-09       Impact factor: 24.884

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  156 in total

1.  Transformation of stimulus value signals into motor commands during simple choice.

Authors:  Todd A Hare; Wolfram Schultz; Colin F Camerer; John P O'Doherty; Antonio Rangel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

2.  Evidence integration in model-based tree search.

Authors:  Alec Solway; Matthew M Botvinick
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-31       Impact factor: 11.205

3.  Irrational time allocation in decision-making.

Authors:  Bastiaan Oud; Ian Krajbich; Kevin Miller; Jin Hyun Cheong; Matthew Botvinick; Ernst Fehr
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

4.  Value-based attentional capture affects multi-alternative decision making.

Authors:  Sebastian Gluth; Mikhail S Spektor; Jörg Rieskamp
Journal:  Elife       Date:  2018-11-05       Impact factor: 8.140

5.  Real and implied motion at the center of gaze.

Authors:  Alper Açik; Andreas Bartel; Peter König
Journal:  J Vis       Date:  2014-01-06       Impact factor: 2.240

Review 6.  Neural predictors of eating behavior and dietary change.

Authors:  Nicole R Giuliani; Junaid S Merchant; Danielle Cosme; Elliot T Berkman
Journal:  Ann N Y Acad Sci       Date:  2018-03-15       Impact factor: 5.691

7.  The application of noninvasive, restraint-free eye-tracking methods for use with nonhuman primates.

Authors:  Lydia M Hopper; Roberto A Gulli; Lauren H Howard; Fumihiro Kano; Christopher Krupenye; Amy M Ryan; Annika Paukner
Journal:  Behav Res Methods       Date:  2021-06

8.  The drift diffusion model as the choice rule in reinforcement learning.

Authors:  Mads Lund Pedersen; Michael J Frank; Guido Biele
Journal:  Psychon Bull Rev       Date:  2017-08

Review 9.  Diffusion Decision Model: Current Issues and History.

Authors:  Roger Ratcliff; Philip L Smith; Scott D Brown; Gail McKoon
Journal:  Trends Cogn Sci       Date:  2016-03-05       Impact factor: 20.229

10.  Visual attention modulates the integration of goal-relevant evidence and not value.

Authors:  Pradyumna Sepulveda; Marius Usher; Ned Davies; Amy A Benson; Pietro Ortoleva; Benedetto De Martino
Journal:  Elife       Date:  2020-11-17       Impact factor: 8.140

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