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Meulders, Ann; Vervliet, Bram; Vansteenwegen, Debora; Hermans, Dirk; Baeyens, Frank – Learning and Motivation, 2011
Unpredictability of an unconditioned stimulus (US) typically produces context conditioning in animals and humans. We modified the Martians task--a computer game measuring learning of Pavlovian associations through conditioned suppression--for assessing context conditioning in humans. One between-subjects and one within-subjects study are reported.…
Descriptors: Animals, Stimuli, Classical Conditioning, Games
Hofmann, Wilhelm; De Houwer, Jan; Perugini, Marco; Baeyens, Frank; Crombez, Geert – Psychological Bulletin, 2010
This article presents a meta-analysis of research on "evaluative conditioning" (EC), defined as a change in the liking of a stimulus (conditioned stimulus; CS) that results from pairing that stimulus with other positive or negative stimuli (unconditioned stimulus; US). Across a total of 214 studies included in the main sample, the mean…
Descriptors: Stimuli, Conditioning, Effect Size, Meta Analysis
Dirikx, Trinette; Hermans, Dirk; Vansteenwegen, Debora; Baeyens, Frank; Eelen, Paul – Learning & Memory, 2004
The present study investigated reinstatement of conditioned responses in humans by using a differential Pavlovian conditioning procedure. Evidence for reinstatement was established in a direct (fear rating) and in an indirect measure (secondary reaction time task) of conditioning. Moreover, the amount of reinstatement in the secondary reaction…
Descriptors: Stimuli, Fear, Classical Conditioning, Reaction Time
Baeyens, Frank; Vansteenwegen, Debora; Beckers, Tom; Hermans, Dirk; Kerkhof, Ineke; De Ceulaer, Annick – Learning & Memory, 2005
Using a conditioned suppression task, we investigated extinction and renewal of Pavlovian modulation in human sequential Feature Positive (FP) discrimination learning. In Experiment 1, in context a participants were first trained on two FP discriminations, X[right arrow]A+/A- and Y[right arrow]B+/B-. Extinction treatment was administered in the…
Descriptors: Discrimination Learning, Classical Conditioning, Contingency Management, Sequential Learning