Literature DB >> 20121313

Perceptual discrimination in static and dynamic noise: the temporal relation between perceptual encoding and decision making.

Roger Ratcliff1, Philip L Smith.   

Abstract

The authors report 9 new experiments and reanalyze 3 published experiments that investigate factors affecting the time course of perceptual processing and its effects on subsequent decision making. Stimuli in letter-discrimination and brightness-discrimination tasks were degraded with static and dynamic noise. The onset and the time course of decision making were quantified by fitting the data with the diffusion model. Dynamic noise and, to a lesser extent, static noise, produced large shifts in the leading edge of the response-time distribution in letter discrimination but had little effect in brightness discrimination. The authors interpret these shifts as changes in the onset of decision making. The different pattern of shifts in letter discrimination and brightness discrimination implies that decision making in the 2 tasks was affected differently by noise. The changes in response-time distributions found with letter stimuli are inconsistent with the hypothesis that noise increases response times to letter stimuli simply by reducing the rate at which evidence accumulates in the decision process. Instead, they imply that noise also delays the time at which evidence accumulation begins. The delay is shown not to be the result of strategic processes or the result of using different stimuli in different tasks. The results imply, rather, that the onset of evidence accumulation in the decision process is time-locked to the perceptual encoding of the stimulus features needed to do the task. Two mechanisms that could produce this time-locking are described.

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Year:  2010        PMID: 20121313      PMCID: PMC2854493          DOI: 10.1037/a0018128

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  28 in total

1.  The time course of perceptual choice: the leaky, competing accumulator model.

Authors:  M Usher; J L McClelland
Journal:  Psychol Rev       Date:  2001-07       Impact factor: 8.934

2.  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

3.  A diffusion model analysis of the effects of aging on brightness discrimination.

Authors:  Roger Ratcliff; Anjali Thapar; Gail McKoon
Journal:  Percept Psychophys       Date:  2003-05

4.  A diffusion model analysis of the effects of aging in the lexical-decision task.

Authors:  Roger Ratcliff; Anjali Thapar; Pablo Gomez; Gail McKoon
Journal:  Psychol Aging       Date:  2004-06

5.  Attention orienting and the time course of perceptual decisions: response time distributions with masked and unmasked displays.

Authors:  Philip L Smith; Roger Ratcliff; Bradley J Wolfgang
Journal:  Vision Res       Date:  2004-06       Impact factor: 1.886

6.  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

Review 7.  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 8.  An integrated theory of attention and decision making in visual signal detection.

Authors:  Philip L Smith; Roger Ratcliff
Journal:  Psychol Rev       Date:  2009-04       Impact factor: 8.934

9.  A hierarchical approach for fitting curves to response time measurements.

Authors:  Jeffrey N Rouder; Francis Tuerlinckx; Paul Speckman; Jun Lu; Pablo Gomez
Journal:  Psychon Bull Rev       Date:  2008-12

10.  The EZ diffusion method: too EZ?

Authors:  Roger Ratcliff
Journal:  Psychon Bull Rev       Date:  2008-12
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  30 in total

1.  Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model.

Authors:  Jeffrey J Starns; Roger Ratcliff; Gail McKoon
Journal:  Cogn Psychol       Date:  2011-11-11       Impact factor: 3.468

2.  Increasing interletter spacing facilitates encoding of words.

Authors:  Manuel Perea; Pablo Gomez
Journal:  Psychon Bull Rev       Date:  2012-04

Review 3.  The importance of decision onset.

Authors:  Tobias Teichert; Jack Grinband; Vincent Ferrera
Journal:  J Neurophysiol       Date:  2015-11-25       Impact factor: 2.714

4.  Modeling the interaction of numerosity and perceptual variables with the diffusion model.

Authors:  Inhan Kang; Roger Ratcliff
Journal:  Cogn Psychol       Date:  2020-04-20       Impact factor: 3.468

5.  Does response modality influence conflict? Modelling vocal and manual response Stroop interference.

Authors:  Alex Fennell; Roger Ratcliff
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2019-02-25       Impact factor: 3.051

6.  Dissociable perceptual-learning mechanisms revealed by diffusion-model analysis.

Authors:  Alexander A Petrov; Nicholas M Van Horn; Roger Ratcliff
Journal:  Psychon Bull Rev       Date:  2011-06

Review 7.  The diffusion model is not a deterministic growth model: comment on Jones and Dzhafarov (2014).

Authors:  Philip L Smith; Roger Ratcliff; Gail McKoon
Journal:  Psychol Rev       Date:  2014-10       Impact factor: 8.934

8.  Combining error-driven models of associative learning with evidence accumulation models of decision-making.

Authors:  David K Sewell; Hayley K Jach; Russell J Boag; Christina A Van Heer
Journal:  Psychon Bull Rev       Date:  2019-06

9.  Taming the beast: extracting generalizable knowledge from computational models of cognition.

Authors:  Matthew R Nassar; Michael J Frank
Journal:  Curr Opin Behav Sci       Date:  2016-10

Review 10.  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

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