Generalization gradients in human predictive learning: Effects of discrimination training and within-subjects testing

Bram Vervliet, Carlos Iberico, Ellen Vervoort, Frank Baeyens

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

15 Citas (Scopus)

Resumen

Generalization gradients have been investigated widely in animal conditioning experiments, but much less so in human predictive learning tasks. Here, we apply the experimental design of a recent study on conditioned fear generalization in humans (Lissek et al., 2008) to a predictive learning task, and examine the effects of a number of relevant procedural parameters drawn from the generalization literature in animal conditioning. Experiment 1 shows that prior discrimination learning and steady-state testing procedures sharpen the gradient; Experiment 2 shows that within-subjects testing of the range of generalization stimuli also sharpens the gradient. In addition, Experiment 2 shows that, in case of very flat initial generalization, an orderly gradient can reveal itself through differential rates of extinction learning. Finally, Experiment 2 also evidenced an orderly gradient of generalization-of-extinction. These results suggest that discrimination processes have an important effect on the generalization of predictive learning in humans, and highlight behavioral analogies between animal conditioning and human predictive learning.

Idioma originalInglés
Páginas (desde-hasta)210-220
Número de páginas11
PublicaciónLearning and Motivation
Volumen42
N.º3
DOI
EstadoPublicada - ago. 2011
Publicado de forma externa

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