title: Configural learning in contextual cuing of visual search.
abstract: Two experiments were conducted to explore the role of configural representations in contextual cuing of visual search. Repeating patterns of distractors (contexts) were trained incidentally as predictive of the target location. Training participants with repeating contexts of consistent configurations led to stronger contextual cuing than when participants were trained with contexts of inconsistent configurations. Computational simulations with an elemental associative learning model of contextual cuing demonstrated that purely elemental representations could not account for the results. However, a configural model of associative learning was able to simulate the ordinal pattern of data. (PsycINFO Database Record
authors.affiliation: School of Psychology, University of New South Wales.
authors.forename: Tom
authors.initials: T
authors.lastname: Beesley
authors.affiliation: Division of Psychology and Language Sciences, University College London.
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Vadillo
authors.affiliation: School of Psychology, University of New South Wales.
authors.forename: Daniel
authors.initials: D
authors.lastname: Pearson
authors.affiliation: Division of Psychology and Language Sciences, University College London.
authors.forename: David R
authors.initials: DR
authors.lastname: Shanks
mesh_terms: D000328:Adult; D001245:Association Learning / Q000502:physiology*; D001288:Attention / Q000502:physiology*; D003198:Computer Simulation; D003463:Cues; D006801:Humans; D010364:Pattern Recognition, Visual / Q000502:physiology*; D013028:Space Perception / Q000502:physiology*; D055815:Young Adult