Modelling generalisation gradients as augmented Gaussian functions.

Studying generalisation of associative learning requires analysis of response gradients measured over a continuous stimulus dimension. In human studies, there is often a high degree of individual variation in the gradients, making it difficult to draw conclusions about group-level trends with tradit...

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Detalles Bibliográficos

Publicado en:	Quarterly Journal of Experimental Psychology Vol. 74; no. 1; pp. 106 - 122
Autores principales:	Lee, Jessica C, Mills, Llewellyn, Hayes, Brett K, Livesey, Evan J
Formato:	Artículo
Publicado:	Sage Publications Inc. Jan2021
Materias:	Trends Gaussian function Generalization Associative learning Parameter estimation
Acceso en línea:	Ver este registro en EBSCOhost