Literature DB >> 24462710

Resurgence in Siamese fighting fish, Betta splendens.

Stephanie P da Silva1, Carlos R X Cançado2, Kennon A Lattal3.   

Abstract

Resurgence of previously reinforced responding was investigated in male Siamese fighting fish (Betta splendens). Swimming through a ring produced 15-s mirror presentations according to, with different fish, either a fixed-ratio 1 or a variable-interval 60-s schedule of reinforcement. When responding was stable, a differential-reinforcement-of-other-behavior schedule was substituted for the mirror-presentation schedule. Following this, mirror presentations were discontinued (extinction). During this latter phase, there were transient increases in the ring-swim response relative to the frequency of such responding during the differential-reinforcement-of-other behavior schedule. Resurgence was similar for the fish exposed previously to the fixed-ratio or to the variable-interval schedule. These results extend to Siamese fighting fish a well-established behavioral phenomenon previously not observed in this species or with this response topography, and only rarely reported following the removal of a non-consumable reinforcer.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Remote behavioral history; Resurgence; Ring swimming; Siamese fighting fish; Visual reinforcement

Mesh:

Year:  2014        PMID: 24462710     DOI: 10.1016/j.beproc.2014.01.004

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  3 in total

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Authors:  Eric A Thrailkill; Wesley C Ameden; Mark E Bouton
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2019-04-29       Impact factor: 2.478

2.  Quantitative analysis of local-level resurgence.

Authors:  John Y H Bai; Sarah Cowie; Christopher A Podlesnik
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3.  Assessing human performance during contingency changes and extinction tests in reversal-learning tasks.

Authors:  Carolyn M Ritchey; Shawn P Gilroy; Toshikazu Kuroda; Christopher A Podlesnik
Journal:  Learn Behav       Date:  2022-02-02       Impact factor: 1.986

  3 in total

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