Evidence map›Paper›PMID 26645306›Full record

ArticleExperimental brain research2016

Determining thresholds using adaptive procedures and psychometric fits: evaluating efficiency using theory, simulations, and human experiments.

Faisal Karmali, Shomesh E Chaudhuri, Yongwoo Yi, Daniel M Merfeld

Abstract read
In one paragraph

Article in Experimental brain research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Article
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  7. Intra-individual consistency of vestibular perceptual thresholds.Attention, perception & psychophysics · 2024
    Article
  8. Article
  9. Psychometrics of inertial heading perception.Journal of vestibular research : equilibrium & orientation · 2024
    Article
  10. Article
  11. Article
  12. Article
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  16. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Faisal KarmaliJenks Vestibular Physiology Lab, Massachusetts Eye and Ear Infirmary, 243 Charles St., Boston, MA, 02114, USA. faisal_karmali@meei.harvard.edu.
Shomesh E ChaudhuriJenks Vestibular Physiology Lab, Massachusetts Eye and Ear Infirmary, 243 Charles St., Boston, MA, 02114, USA.
Yongwoo YiJenks Vestibular Physiology Lab, Massachusetts Eye and Ear Infirmary, 243 Charles St., Boston, MA, 02114, USA.
Daniel M MerfeldJenks Vestibular Physiology Lab, Massachusetts Eye and Ear Infirmary, 243 Charles St., Boston, MA, 02114, USA.

Funding

Vestibular thresholds, including psychophysical response dynamicsR01DC004158 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERFELD, DANIEL M · 1999 to 2013
$4.9M
Measuring and Isolating Imprecision in Vestibular Perception and ActionR03DC013635 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI KARMALI, FAISAL · 2015 to 2017
$492k
Innovative Methodologies for measuring behavioral vestibular thresholdsR56DC012038 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERFELD, DANIEL M · 2012 to 2012
$393k
NIDCD NIH HHS R01 DC004158NIDCD NIH HHS R01-DC04158NIDCD NIH HHS R03 DC013635NIDCD NIH HHS R03-DC013635NIDCD NIH HHS R56 DC012038NIDCD NIH HHS R56-DC12038
6 · The paper itself

Abstract

When measuring thresholds, careful selection of stimulus amplitude can increase efficiency by increasing the precision of psychometric fit parameters (e.g., decreasing the fit parameter error bars). To find efficient adaptive algorithms for psychometric threshold ("sigma") estimation, we combined analytic approaches, Monte Carlo simulations, and human experiments for a one-interval, binary forced-choice, direction-recognition task. To our knowledge, this is the first time analytic results have been combined and compared with either simulation or human results. Human performance was consistent with theory and not significantly different from simulation predictions. Our analytic approach provides a bound on efficiency, which we compared against the efficiency of standard staircase algorithms, a modified staircase algorithm with asymmetric step sizes, and a maximum likelihood estimation (MLE) procedure. Simulation results suggest that optimal efficiency at determining threshold is provided by the MLE procedure targeting a fraction correct level of 0.92, an asymmetric 4-down, 1-up staircase targeting between 0.86 and 0.92 or a standard 6-down, 1-up staircase. Psychometric test efficiency, computed by comparing simulation and analytic results, was between 41 and 58% for 50 trials for these three algorithms, reaching up to 84% for 200 trials. These approaches were 13-21% more efficient than the commonly used 3-down, 1-up symmetric staircase. We also applied recent advances to reduce accuracy errors using a bias-reduced fitting approach. Taken together, the results lend confidence that the assumptions underlying each approach are reasonable and that human threshold forced-choice decision making is modeled well by detection theory models and mimics simulations based on detection theory models.

Indexed as

Computer SimulationAdultFemaleHumansLikelihood FunctionsMaleMiddle AgedPsychometricsPsychomotor PerformanceSensory ThresholdsEfficiencyPrecisionPsychometric curvePsychophysics

Identifiers

PMID26645306
PMCPMC4831214

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.