Literature DB >> 15472567

Herrnstein's hyperbolic matching equation and behavioral pharmacology: review and critique.

J Dallery1, P L Soto.   

Abstract

Behavioral pharmacologists have enlisted Herrnstein's (1970) hyperbolic matching equation to understand the behavioral effects of drugs. Herrnstein's hyperbola describes the relation between absolute response rate and reinforcement rate. The equation has two fitted parameters. The parameter k represents the asymptotic response rate, and the parameter r(e) represents the reinforcement rate necessary to obtain half the asymptotic response rate. According to one interpretation of the equation, changes in k should reflect changes in response or motoric variables, and changes in r(e) should reflect changes in reinforcer or motivational variables, or changes in reinforcement from sources extraneous to the instrumental response. We review research that has applied Herrnstein's equation to distinguish the motoric from the motivational effects of drugs, and to identify additional independent variables responsible for drug effects, such as extraneous reinforcement. The validity of inferences about drug effects depends on the consistency of how k and r(e) respond to environmental manipulations: k should change only with response or motoric variables, and r(e) should change with reinforcer or motivational variables and with the rate of extraneous reinforcement. Empirical tests of these predictions, however, have produced inconsistent results. The review suggests that Herrnstein's theory has not fulfilled its promise of identifying the behavioral mechanisms of drug action. Modifications to the equation, known as bias and sensitivity, may explain some of these inconsistent results, and the modified equation may have utility in behavioral pharmacology.

Mesh:

Year:  2004        PMID: 15472567     DOI: 10.1097/00008877-200411000-00001

Source DB:  PubMed          Journal:  Behav Pharmacol        ISSN: 0955-8810            Impact factor:   2.293


  8 in total

1.  Effects of adding a second reinforcement alternative: implications for Herrnstein's interpretation of r(e).

Authors:  Paul L Soto; Jack J McDowell; Jesse Dallery
Journal:  J Exp Anal Behav       Date:  2005-09       Impact factor: 2.468

2.  A test of the formal and modern theories of matching.

Authors:  Jesse Dallery; Paul L Soto; J J McDowell
Journal:  J Exp Anal Behav       Date:  2005-09       Impact factor: 2.468

3.  A perfect platform: combining contingency management with medications for drug abuse.

Authors:  Kathleen M Carroll; Bruce J Rounsaville
Journal:  Am J Drug Alcohol Abuse       Date:  2007       Impact factor: 3.829

4.  Toward a mechanics of adaptive behavior: evolutionary dynamics and matching theory statics.

Authors:  J J McDowell; Andrei Popa
Journal:  J Exp Anal Behav       Date:  2010-09       Impact factor: 2.468

5.  The isolation of motivational, motoric, and schedule effects on operant performance: a modeling approach.

Authors:  Ryan J Brackney; Timothy H C Cheung; Janet L Neisewander; Federico Sanabria
Journal:  J Exp Anal Behav       Date:  2011-07       Impact factor: 2.468

6.  A quantitative analysis of the effects of qualitatively different reinforcers on fixed ratio responding in inbred strains of mice.

Authors:  Blake A Hutsell; M Christopher Newland
Journal:  Neurobiol Learn Mem       Date:  2013-01-26       Impact factor: 2.877

7.  Characterizing operant hyperactivity in the Spontaneously Hypertensive Rat.

Authors:  Jade C Hill; Katrina Herbst; Federico Sanabria
Journal:  Behav Brain Funct       Date:  2012-01-26       Impact factor: 3.759

8.  The dopamine circuit as a reward-taxis navigation system.

Authors:  Omer Karin; Uri Alon
Journal:  PLoS Comput Biol       Date:  2022-07-25       Impact factor: 4.779

  8 in total

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