La Interacción entre Claves en el Condicionamiento Clásico : un Ejemplo desde la Teoría de la Detección de Señales

Muñiz-Diez, Clara and Alvarez, Beatriz and Loy, Ignacio (2015) La Interacción entre Claves en el Condicionamiento Clásico : un Ejemplo desde la Teoría de la Detección de Señales. Revista Electrónica de Metodología Aplicada, 20 (2). pp. 11-32.

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Abstract

Classical conditioning allows relating the fundamental research in non-human animals with contingency assessment tasks in humans, given that animals judge the relationship between a conditioned stimulus and an unconditioned stimulus in a way akin to humans judge the relationship between a cue and an outcome. Classical conditioning has been traditionally explained by associative models, but these models have been demonstrated have some limitations. Signal Detection Theory (SDT) can be a more appropriate alternative. In the present experiment contingency assessment is analyzed in four groups of rats that were exposed to a tone that was always followed by food (100%), and a tone-click compound for which different contingencies of reinforcement were employed (100%, 66%, 33% and 0%). The general design was A+/ AX+. The group in which the compound was always reinforced (100%) showed augmentation and blocking. In contrast, second order conditioning and conditioned inhibition were observed when the compound contingency reinforcement was 0%. The results showed that these phenomena appeared in different moments of training for the mentioned groups, whereas groups with intermediate reinforcement (33% and 66%) showed intermediate results. Results are analyzed using associative learning methodologies and TDS techniques. Theoretical implications of applying SDT to associative learning are discussed.

Item Type:
Journal Article
Journal or Publication Title:
Revista Electrónica de Metodología Aplicada
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not funded ??
ID Code:
192653
Deposited By:
Deposited On:
09 May 2023 14:50
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 23:47