Literature DB >> 21690336

Diffusion model for one-choice reaction-time tasks and the cognitive effects of sleep deprivation.

Roger Ratcliff1, Hans P A Van Dongen.   

Abstract

One-choice reaction-time (RT) tasks are used in many domains, including assessments of motor vehicle driving and assessments of the cognitive/behavioral consequences of sleep deprivation. In such tasks, subjects are asked to respond when they detect the onset of a stimulus; the dependent variable is RT. We present a cognitive model for one-choice RT tasks that uses a one-boundary diffusion process to represent the accumulation of stimulus information. When the accumulated evidence reaches a decision criterion, a response is initiated. This model is distinct in accounting for the RT distributions observed for one-choice RT tasks, which can have long tails that have not been accurately captured by earlier cognitive modeling approaches. We show that the model explains performance on a brightness-detection task (a "simple RT task") and on a psychomotor vigilance test. The latter is used extensively to examine the clinical and behavioral effects of sleep deprivation. For the brightness-detection task, the model explains the behavior of RT distributions as a function of brightness. For the psychomotor vigilance test, it accounts for lapses in performance under conditions of sleep deprivation and for changes in the shapes of RT distributions over the course of sleep deprivation. The model also successfully maps the rate of accumulation of stimulus information onto independently derived predictions of alertness. The model is a unified, mechanistic account of one-choice RT under conditions of sleep deprivation.

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Year:  2011        PMID: 21690336      PMCID: PMC3131321          DOI: 10.1073/pnas.1100483108

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


  17 in total

1.  Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability.

Authors:  Roger Ratcliff; Francis Tuerlinckx
Journal:  Psychon Bull Rev       Date:  2002-09

2.  Gradual growth versus shape invariance in perceptual decision making.

Authors:  Jeffrey N Rouder; Yu Yue; Paul L Speckman; Michael S Pratte; Jordan M Province
Journal:  Psychol Rev       Date:  2010-10       Impact factor: 8.934

3.  Top-down control of motor cortex ensembles by dorsomedial prefrontal cortex.

Authors:  Nandakumar S Narayanan; Mark Laubach
Journal:  Neuron       Date:  2006-12-07       Impact factor: 17.173

Review 4.  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

5.  Effects of simulator practice and real-world experience on cell-phone-related driver distraction.

Authors:  Joel M Cooper; David L Strayer
Journal:  Hum Factors       Date:  2008-12       Impact factor: 2.888

6.  Evidence from auditory simple reaction times for both change and level detectors.

Authors:  S L Burbeck; R D Luce
Journal:  Percept Psychophys       Date:  1982-08

7.  Individual differences, aging, and IQ in two-choice tasks.

Authors:  Roger Ratcliff; Anjali Thapar; Gail McKoon
Journal:  Cogn Psychol       Date:  2009-12-04       Impact factor: 3.468

Review 8.  Sleep deprivation and vigilant attention.

Authors:  Julian Lim; David F Dinges
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

9.  Modeling confidence and response time in recognition memory.

Authors:  Roger Ratcliff; Jeffrey J Starns
Journal:  Psychol Rev       Date:  2009-01       Impact factor: 8.934

10.  Systematic interindividual differences in neurobehavioral impairment from sleep loss: evidence of trait-like differential vulnerability.

Authors:  Hans P A Van Dongen; Maurice D Baynard; Greg Maislin; David F Dinges
Journal:  Sleep       Date:  2004-05-01       Impact factor: 5.849

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  55 in total

1.  A common control signal and a ballistic stage can explain the control of coordinated eye-hand movements.

Authors:  Atul Gopal; Aditya Murthy
Journal:  J Neurophysiol       Date:  2016-02-17       Impact factor: 2.714

2.  Neural bases of individual variation in decision time.

Authors:  Sien Hu; Yuan-Chi Tseng; Alissa D Winkler; Chiang-Shan R Li
Journal:  Hum Brain Mapp       Date:  2013-09-11       Impact factor: 5.038

3.  Sleep deprivation is associated with attenuated parametric valuation and control signals in the midbrain during value-based decision making.

Authors:  Mareike M Menz; Christian Büchel; Jan Peters
Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

Review 4.  Computational cognitive modeling of the temporal dynamics of fatigue from sleep loss.

Authors:  Matthew M Walsh; Glenn Gunzelmann; Hans P A Van Dongen
Journal:  Psychon Bull Rev       Date:  2017-12

Review 5.  Sleep deprivation, vigilant attention, and brain function: a review.

Authors:  Amanda N Hudson; Hans P A Van Dongen; Kimberly A Honn
Journal:  Neuropsychopharmacology       Date:  2019-06-08       Impact factor: 7.853

6.  Discriminating evidence accumulation from urgency signals in speeded decision making.

Authors:  Guy E Hawkins; Eric-Jan Wagenmakers; Roger Ratcliff; Scott D Brown
Journal:  J Neurophysiol       Date:  2015-04-22       Impact factor: 2.714

7.  Eye-hand coordination during a double-step task: evidence for a common stochastic accumulator.

Authors:  Atul Gopal; Aditya Murthy
Journal:  J Neurophysiol       Date:  2015-06-17       Impact factor: 2.714

8.  A common stochastic accumulator with effector-dependent noise can explain eye-hand coordination.

Authors:  Atul Gopal; Pooja Viswanathan; Aditya Murthy
Journal:  J Neurophysiol       Date:  2015-01-07       Impact factor: 2.714

9.  Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making.

Authors:  Guy E Hawkins; Birte U Forstmann; Eric-Jan Wagenmakers; Roger Ratcliff; Scott D Brown
Journal:  J Neurosci       Date:  2015-02-11       Impact factor: 6.167

10.  Variable Statistical Structure of Neuronal Spike Trains in Monkey Superior Colliculus.

Authors:  Seong-Hah Cho; Trinity Crapse; Piercesare Grimaldi; Hakwan Lau; Michele A Basso
Journal:  J Neurosci       Date:  2021-02-23       Impact factor: 6.167

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