Literature DB >> 25545981

Conditioned inhibition and reinforcement rate.

Justin A Harris1, Dorothy W S Kwok1, Benjamin J Andrew1.   

Abstract

We investigated conditioned inhibition in a magazine approach paradigm. Rats were trained on a feature negative discrimination between an auditory conditioned stimulus (CS) reinforced at one rate versus a compound of that CS and a visual stimulus (L) reinforced at a lower rate. This training established L as a conditioned inhibitor. We then tested the inhibitory strength of L by presenting it in compound with other auditory CSs. L reduced responding when tested with a CS that had been reinforced at a high rate, but had less or even no inhibitory effect when tested with a CS that had been reinforced at a low rate. The inhibitory strength of L was greater if it signaled a decrease in reinforcement from an already low rate than if it signaled an equivalent decrease in reinforcement from a high rate. We conclude that the strength of inhibition is not a linear function of the change in reinforcement that it signals. We discuss the implications of this finding for models of learning (e.g., Rescorla & Wagner, 1972) that identify inhibition with a difference (subtraction) rule.

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Year:  2014        PMID: 25545981     DOI: 10.1037/xan0000023

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


  4 in total

1.  Cortico-Striatal Activity Characterizes Human Safety Learning via Pavlovian Conditioned Inhibition.

Authors:  Patrick A F Laing; Trevor Steward; Christopher G Davey; Kim L Felmingham; Miguel Angel Fullana; Bram Vervliet; Matthew D Greaves; Bradford Moffat; Rebecca K Glarin; Ben J Harrison
Journal:  J Neurosci       Date:  2022-05-16       Impact factor: 6.709

Review 2.  The Role of the Lateral Habenula in Inhibitory Learning from Reward Omission.

Authors:  Rodrigo Sosa; Jesús Mata-Luévanos; Mario Buenrostro-Jáuregui
Journal:  eNeuro       Date:  2021-06-22

3.  A System Computational Model of Implicit Emotional Learning.

Authors:  Luca Puviani; Sidita Rama
Journal:  Front Comput Neurosci       Date:  2016-06-14       Impact factor: 2.380

4.  Computational Psychiatry and Psychometrics Based on Non-Conscious Stimuli Input and Pupil Response Output.

Authors:  Luca Puviani; Sidita Rama; Giorgio Matteo Vitetta
Journal:  Front Psychiatry       Date:  2016-11-28       Impact factor: 4.157

  4 in total

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