Literature DB >> 27425659

Can existing associative principles explain occasion setting? Some old ideas and some new data.

Charlotte Bonardi1, Jasper Robinson2, Dómhnall Jennings3.   

Abstract

Since occasion setting was identified as a type of learning independent of 'simple' associative processes, a great deal of research has explored how occasion setters are established and operate. Initial theories suggested that they exert hierarchical control over a target CS→US association, facilitating the ease with which a CS can activate the US representation and elicit the CR. Later approaches proposed that occasion setting arises from an association between a configural cue, formed from the conjunction of the occasion setter and CS, and the US. The former solution requires the associative principles dictating how stimuli interact to be modified, while the latter does not. The history of this theoretical distinction, and evidence relating to it, will be briefly reviewed and some novel data presented. In summary, although the contribution of configural processes to learning phenomena is not in doubt, configural theories must make many assumptions to accommodate the existing data, and there are certain classes of evidence that they are logically unable to explain. Our contention is therefore that some kind of hierarchical process is required to explain occasion-setting effects.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Configural theory; Hierarchical theory; Learning; Occasion setting

Mesh:

Year:  2016        PMID: 27425659     DOI: 10.1016/j.beproc.2016.07.007

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


  3 in total

Review 1.  Occasion setting.

Authors:  Kurt M Fraser; Peter C Holland
Journal:  Behav Neurosci       Date:  2019-04       Impact factor: 1.912

2.  The effects of stimulus distribution form during trace conditioning.

Authors:  Charlotte Bonardi; Dómhnall J Jennings
Journal:  Q J Exp Psychol (Hove)       Date:  2018-01-01       Impact factor: 2.143

3.  Ambiguity drives higher-order Pavlovian learning.

Authors:  Tomislav D Zbozinek; Omar D Perez; Toby Wise; Michael Fanselow; Dean Mobbs
Journal:  PLoS Comput Biol       Date:  2022-09-09       Impact factor: 4.779

  3 in total

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