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Researcher
James Schmidt
- Disciplines:Learning and behaviour, Motivation and emotion, Cognitive processes
Affiliations
- Department of Experimental clinical and health psychology (Department)
Member
From5 Oct 2009 → 20 Jun 2018
Projects
1 - 1 of 1
- Colour-word contingency learning: Automatic or controlled?From1 Oct 2010 → 30 Sep 2016Funding: FWO fellowships, BOF - Other initiatives
Publications
1 - 10 of 37
- Learning habits : does overtraining lead to resistance to new learning?(2020)
Authors: James Schmidt, Jan De Houwer, Agnes Moors
- Cue competition and incidental learning : no blocking or overshadowing in the colour-word contingency learning procedure without instructions to learn(2019)
Authors: James Schmidt, Jan De Houwer
- Context-specific proportion congruent effects : compound-cue contingency learning in disguise(2019)
Authors: James Schmidt, Céline Lemercier
Pages: 1119 - 1130 - Best not to bet on the horserace : a comment on Forrin and MacLeod (2017) and a relevant stimulus-response compatibility view of colour-word contingency learning asymmetries(2018)
Authors: James Schmidt
Pages: 326 - 335 - Interference in Dutch-French bilinguals(2018)
Authors: James Schmidt, Robert Hartsuiker, Jan De Houwer
Pages: 13 - 22 - Category learning in the color-word contingency learning paradigm(2018)
Authors: James Schmidt, Maria Augustinova, Jan De Houwer
Pages: 658 - 666 - Stroop interference and development : influence of expectation on color-naming response times(2017)
Authors: Céline Lemercier, Aurelie Simoës-Perlant, James Schmidt, Christophe Boujon
Pages: 43 - 50 - Time-out for conflict monitoring theory : preventing rhythmic biases eliminates the list-level proportion congruent effect(2017)
Authors: James Schmidt
Pages: 52 - 62 - The Parallel Episodic Processing (PEP) model 2.0 : a single computational model of stimulus-response binding, contingency learning, power curves, and mixing costs(2016)
Authors: James Schmidt, Jan De Houwer, Klaus Rothermund
Pages: 82 - 108 - Context-specific proportion congruency effects : an episodic learning account and computational model(2016)
Authors: James Schmidt