Literature DB >> 25767093

Using psychophysics to ask if the brain samples or maximizes.

Daniel E Acuna1, Max Berniker2, Hugo L Fernandes3, Konrad P Kording4.   

Abstract

The two-alternative forced-choice (2AFC) task is the workhorse of psychophysics and is used to measure the just-noticeable difference, generally assumed to accurately quantify sensory precision. However, this assumption is not true for all mechanisms of decision making. Here we derive the behavioral predictions for two popular mechanisms, sampling and maximum a posteriori, and examine how they affect the outcome of the 2AFC task. These predictions are used in a combined visual 2AFC and estimation experiment. Our results strongly suggest that subjects use a maximum a posteriori mechanism. Further, our derivations and experimental paradigm establish the already standard 2AFC task as a behavioral tool for measuring how humans make decisions under uncertainty.
© 2015 ARVO.

Entities:  

Keywords:  Bayesian; decision-making; just-noticeable difference (JND); maximum a posteriori; psychophysics; sampling; two-alternative forced choice (2AFC)

Mesh:

Year:  2015        PMID: 25767093      PMCID: PMC4357487          DOI: 10.1167/15.3.7

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  22 in total

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8.  Temporal integration of olfactory perceptual evidence in human orbitofrontal cortex.

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  12 in total

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4.  The development of Bayesian integration in sensorimotor estimation.

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Journal:  J Vis       Date:  2018-11-01       Impact factor: 2.240

5.  Sensory uncertainty impacts avoidance during spatial decisions.

Authors:  Kevin Jarbo; Rory Flemming; Timothy D Verstynen
Journal:  Exp Brain Res       Date:  2017-12-14       Impact factor: 1.972

6.  Who's afraid of response bias?

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7.  Measurement of force sense reproduction in the knee joint: application of a new dynamometric device.

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Journal:  J Phys Ther Sci       Date:  2016-08-31

8.  The integration of probabilistic information during sensorimotor estimation is unimpaired in children with Cerebral Palsy.

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9.  Fast and Accurate Learning When Making Discrete Numerical Estimates.

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10.  Effect of depth information on multiple-object tracking in three dimensions: A probabilistic perspective.

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Journal:  PLoS Comput Biol       Date:  2017-07-20       Impact factor: 4.475

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