Literature DB >> 25706545

Optimal response rates in humans and rats.

David M Freestone1, Fuat Balcı2, Patrick Simen3, Russell M Church1.   

Abstract

The analysis of response rates has been highly influential in psychology, giving rise to many prominent theories of learning. There is, however, growing interest in explaining response rates, not as a global response to associations or value, but as a decision about how to space responses in time. Recently, researchers have shown that humans and mice can time a single response optimally; that is, in a way that maximizes reward. Here, we use the well-established differential reinforcement of low rates (DRL) timing task to show that humans and rats come close to optimizing reinforcement rate, but respond systematically faster than they should. PsycINFO Database Record (c) 2015 APA, all rights reserved.

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Year:  2014        PMID: 25706545      PMCID: PMC4363313          DOI: 10.1037/xan0000049

Source DB:  PubMed          Journal:  J Exp Psychol Anim Learn Cogn        ISSN: 2329-8456            Impact factor:   2.478


  41 in total

1.  Relative and absolute strength of response as a function of frequency of reinforcement.

Authors:  R J HERRNSTEIN
Journal:  J Exp Anal Behav       Date:  1961-07       Impact factor: 2.468

2.  On the selective reinforcement of spaced responses.

Authors:  M P WILSON; F S KELLER
Journal:  J Comp Physiol Psychol       Date:  1953-06

3.  Behavior under large values of the differential-reinforcement-of-low-rate schedule.

Authors:  W K Richardson; T E Loughead
Journal:  J Exp Anal Behav       Date:  1974-07       Impact factor: 2.468

4.  A molar theory of reinforcement schedules.

Authors:  H Rachlin
Journal:  J Exp Anal Behav       Date:  1978-11       Impact factor: 2.468

5.  A modular theory of learning and performance.

Authors:  Paulo Guilhardi; Linun Yi; Russell M Church
Journal:  Psychon Bull Rev       Date:  2007-08

6.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

7.  Conditioning response variability.

Authors:  W N Schoenfeld; A H Harris; J Farmer
Journal:  Psychol Rep       Date:  1966-10

8.  DRL interresponse-time distributions: quantification by peak deviation analysis.

Authors:  J B Richards; K E Sabol; L S Seiden
Journal:  J Exp Anal Behav       Date:  1993-09       Impact factor: 2.468

9.  Rats and humans can optimally accumulate evidence for decision-making.

Authors:  Bingni W Brunton; Matthew M Botvinick; Carlos D Brody
Journal:  Science       Date:  2013-04-05       Impact factor: 47.728

10.  Evidence for impulsivity in the Spontaneously Hypertensive Rat drawn from complementary response-withholding tasks.

Authors:  Federico Sanabria; Peter R Killeen
Journal:  Behav Brain Funct       Date:  2008-02-08       Impact factor: 3.759

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  4 in total

1.  Interval timing under a behavioral microscope: Dissociating motivational and timing processes in fixed-interval performance.

Authors:  Carter W Daniels; Federico Sanabria
Journal:  Learn Behav       Date:  2017-03       Impact factor: 1.986

2.  Mice can count and optimize count-based decisions.

Authors:  Bilgehan Çavdaroğlu; Fuat Balcı
Journal:  Psychon Bull Rev       Date:  2016-06

3.  The ventral hippocampus is necessary for cue-elicited, but not outcome driven approach-avoidance conflict decisions: a novel operant choice decision-making task.

Authors:  Bilgehan Çavdaroğlu; Sadia Riaz; Elton H L Yeung; Andy C H Lee; Rutsuko Ito
Journal:  Neuropsychopharmacology       Date:  2020-11-05       Impact factor: 7.853

4.  Rodents monitor their error in self-generated duration on a single trial basis.

Authors:  Tadeusz Władysław Kononowicz; Virginie van Wassenhove; Valérie Doyère
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-01       Impact factor: 12.779

  4 in total

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