Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy
By Eric-Jan Wagenmakers. 2009
239 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c79d61822878ada93d84a30c3cdd5187fc15a230
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Eric-Jan Wagenmakers
- Birte U. Forstmann
- M. Janczyk
- Heinrich R. Liesefeld
- Sander Nieuwenhuis
- Gilles Dutilh
- H.L.J. van der Maas
- V. Ravenzwaaij
Citations in the corpus
- Combining speed and accuracy to control for speed-accuracy trade-offs(?) (2018, methodology): “…validated and most established models to reflect core cognitive processes employed in a wide range of experimental tasks (Forstmann et al., 2016; Ratcliff et al., 2016; Voss et al., 2015; Wagenmakers, 2009), it is likely that data simulated by this model differ from real data in various respects.”
- An Introduction to Model-Based Cognitive Neuroscience (2015, background): “These difficulties have no doubt been exacerbated by the lack of introductory textbooks on the topic, although recent entries (including the book you are reading now; see also [14, 62]) may encourage researchers with this expertise to start offering courses in their own universities.”
- How to measure post-error slowing: A confound and a simple solution (2012, methodology): “In two simulation studies we used the diffusion model (Ratcliff, 1978; Ratcliff & McKoon, 2008; Wagenmakers, 2009) to make the scenarios described above more concrete.”