Literature DB >> 15875968

The role of response mechanisms in determining reaction time performance: Piéron's law revisited.

Tom Stafford1, Kevin N Gurney.   

Abstract

A response mechanism takes evaluations of the importance of potential actions and selects the most suitable. Response mechanism function is a nontrivial problem that has not received the attention it deserves within cognitive psychology. In this article, we make a case for the importance of considering response mechanism function as a constraint on cognitive processes and emphasized links with the wider problem of behavioral action selection. First, we show that, contrary to previous suggestions, a well-known model of the Stroop task (Cohen, Dunbar, & McClelland, 1990) relies on the response mechanism for a key feature of its results-the interference-facilitation asymmetry. Second, we examine a variety of response mechanisms (including that in the model of Cohen et al., 1990) and show that they all follow a law analogous to Piéron's law in relating their input to reaction time. In particular, this is true of a decision mechanism not designed to explain RT data but based on a proposed solution to the general problem of action selection and grounded in the neurobiology of the vertebrate basal ganglia Finally, we show that the dynamics of simple artificial neurons also support a Piéron-like law.

Mesh:

Year:  2004        PMID: 15875968     DOI: 10.3758/bf03196729

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  28 in total

Review 1.  The basal ganglia: a vertebrate solution to the selection problem?

Authors:  P Redgrave; T J Prescott; K Gurney
Journal:  Neuroscience       Date:  1999       Impact factor: 3.590

2.  Group and individual gustatory reaction times and Piéron's law.

Authors:  C Bonnet; M C Zamora; F Buratti; M Guirao
Journal:  Physiol Behav       Date:  1999-06

Review 3.  Neural basis of deciding, choosing and acting.

Authors:  J D Schall
Journal:  Nat Rev Neurosci       Date:  2001-01       Impact factor: 34.870

4.  The reverse Stroop effect.

Authors:  F H Durgin
Journal:  Psychon Bull Rev       Date:  2000-03

5.  The influence of urgency on decision time.

Authors:  B A Reddi; R H Carpenter
Journal:  Nat Neurosci       Date:  2000-08       Impact factor: 24.884

6.  Visual attention and word recognition in stroop color naming: is word recognition "automatic"?

Authors:  Tracy L Brown; Christopher L Gore; Thomas H Carr
Journal:  J Exp Psychol Gen       Date:  2002-06

7.  SLAM: a connectionist model for attention in visual selection tasks.

Authors:  R H Phaf; A H Van der Heijden; P T Hudson
Journal:  Cogn Psychol       Date:  1990-07       Impact factor: 3.468

8.  The stroop effect and the myth of automaticity.

Authors:  D Besner; J A Stolz; C Boutilier
Journal:  Psychon Bull Rev       Date:  1997-06

9.  Automaticity and word perception: evidence from Stroop and Stroop dilution effects.

Authors:  T L Brown; L Roos-Gilbert; T H Carr
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1995-11       Impact factor: 3.051

10.  Automaticity in reading and the Stroop task: testing the limits of involuntary word processing.

Authors:  Tracy L Brown; Kelly Joneleit; Cathy S Robinson; Carli Rose Brown
Journal:  Am J Psychol       Date:  2002
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  11 in total

1.  Comparison of absolute thresholds derived from an adaptive forced-choice procedure and from reaction probabilities and reaction times in a simple reaction time paradigm.

Authors:  Peter Heil; Heinrich Neubauer; Andreas Tiefenau; Hellmut von Specht
Journal:  J Assoc Res Otolaryngol       Date:  2006-07-06

2.  Biologically constrained action selection improves cognitive control in a model of the Stroop task.

Authors:  Tom Stafford; Kevin N Gurney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-09-29       Impact factor: 6.237

3.  The effect of marker size on the perception of an empty interval.

Authors:  Fuminori Ono; Shigeru Kitazawa
Journal:  Psychon Bull Rev       Date:  2009-02

4.  Priming and backward influences in the human brain: processing interactions during the stroop interference effect.

Authors:  L G Appelbaum; K L Meyerhoff; M G Woldorff
Journal:  Cereb Cortex       Date:  2009-03-25       Impact factor: 5.357

5.  Additive factors do not imply discrete processing stages: a worked example using models of the stroop task.

Authors:  Tom Stafford; Kevin N Gurney
Journal:  Front Psychol       Date:  2011-11-14

6.  Piéron's Law and Optimal Behavior in Perceptual Decision-Making.

Authors:  Leendert van Maanen; Raoul P P P Grasman; Birte U Forstmann; Eric-Jan Wagenmakers
Journal:  Front Neurosci       Date:  2012-01-02       Impact factor: 4.677

7.  Commentary: Piéron's law is not just an artifact of the response mechanism.

Authors:  José M Medina; José A Díaz
Journal:  Front Physiol       Date:  2015-06-30       Impact factor: 4.566

8.  Probabilistic Decision Making with Spikes: From ISI Distributions to Behaviour via Information Gain.

Authors:  Javier A Caballero; Nathan F Lepora; Kevin N Gurney
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

9.  Investigating decision rules with a new experimental design: the EXACT paradigm.

Authors:  Valerio Biscione; Christopher M Harris
Journal:  Front Behav Neurosci       Date:  2015-11-03       Impact factor: 3.558

10.  Psychophysical Laws and the Superorganism.

Authors:  Andreagiovanni Reina; Thomas Bose; Vito Trianni; James A R Marshall
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

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