Literature DB >> 18823168

The reinforcement mountain: allocation of behavior as a function of the rate and intensity of rewarding brain stimulation.

Andreas Arvanitogiannis1, Peter Shizgal.   

Abstract

The single-operant matching law has been used to describe the relationship between time allocated to pursuit of brain stimulation reward (BSR) and the obtained rate of reinforcement. We generalize this relationship to a third dimension by including the strength of the stimulation (the number of pulses per train) as an independent dimension, and we dub the resulting 3-dimensional structure "the reinforcement mountain." The validity of generalizing the single-operant matching law in this way was assessed by determining the changes in the position of the mountain produced by increasing the stimulation current or the train duration. Most of the predictions were supported, and the mountain model fitted the data closely. It is argued that application of this model can remove ambiguity inherent in 2-dimensional descriptions of operant performance and can reveal whether lesions, drugs, or physiological manipulations that alter performance for BSR act before or after the output of the ("reward-growth") function that translates the electrically induced impulse flow into the intensity of the BSR.

Mesh:

Year:  2008        PMID: 18823168     DOI: 10.1037/a0012679

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  22 in total

1.  Optimal indolence: a normative microscopic approach to work and leisure.

Authors:  Ritwik K Niyogi; Yannick-Andre Breton; Rebecca B Solomon; Kent Conover; Peter Shizgal; Peter Dayan
Journal:  J R Soc Interface       Date:  2013-11-27       Impact factor: 4.118

2.  Intracranial self-stimulation in FAST and SLOW mice: effects of alcohol and cocaine.

Authors:  Eric W Fish; J Elliott Robinson; Michael C Krouse; Clyde W Hodge; Cheryl Reed; Tamara J Phillips; C J Malanga
Journal:  Psychopharmacology (Berl)       Date:  2011-10-07       Impact factor: 4.530

3.  A generalized matching law analysis of cocaine vs. food choice in rhesus monkeys: effects of candidate 'agonist-based' medications on sensitivity to reinforcement.

Authors:  Blake A Hutsell; S Stevens Negus; Matthew L Banks
Journal:  Drug Alcohol Depend       Date:  2014-11-20       Impact factor: 4.492

Review 4.  The power of price compels you: Behavioral economic insights into dopamine-based valuation of rewarding and aversively motivated behavior.

Authors:  Erik B Oleson; Jonté B Roberts
Journal:  Brain Res       Date:  2018-12-11       Impact factor: 3.252

5.  Cue-evoked dopamine release in the nucleus accumbens shell tracks reinforcer magnitude during intracranial self-stimulation.

Authors:  M Beyene; R M Carelli; R M Wightman
Journal:  Neuroscience       Date:  2010-06-25       Impact factor: 3.590

6.  Cannabinoid receptor blockade reduces the opportunity cost at which rats maintain operant performance for rewarding brain stimulation.

Authors:  Ivan Trujillo-Pisanty; Giovanni Hernandez; Ian Moreau-Debord; Marie-Pierre Cossette; Kent Conover; Joseph F Cheer; Peter Shizgal
Journal:  J Neurosci       Date:  2011-04-06       Impact factor: 6.167

7.  At what stage of neural processing does cocaine act to boost pursuit of rewards?

Authors:  Giovanni Hernandez; Yannick-André Breton; Kent Conover; Peter Shizgal
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

8.  A new view of the effect of dopamine receptor antagonism on operant performance for rewarding brain stimulation in the rat.

Authors:  I Trujillo-Pisanty; K Conover; P Shizgal
Journal:  Psychopharmacology (Berl)       Date:  2013-11-15       Impact factor: 4.530

9.  Dissociating the effects of dopamine D2 receptors on effort-based versus value-based decision making using a novel behavioral approach.

Authors:  Matthew R Bailey; Eileen Chun; Elke Schipani; Peter D Balsam; Eleanor H Simpson
Journal:  Behav Neurosci       Date:  2020-04       Impact factor: 1.912

10.  Deep brain stimulation in the central nucleus of the amygdala decreases 'wanting' and 'liking' of food rewards.

Authors:  Shani E Ross; Emily Lehmann Levin; Christy A Itoga; Chelsea B Schoen; Romeissa Selmane; J Wayne Aldridge
Journal:  Eur J Neurosci       Date:  2016-08-05       Impact factor: 3.386

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.