ORCID Profile
0000-0001-8278-319X
Current Organisations
University of Amsterdam
,
Universiteit van Amsterdam
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Publisher: Hogrefe Publishing Group
Date: 02-2011
DOI: 10.1027/1618-3169/A000093
Abstract: Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names one with same-race Dutch names versus racially neutral Finnish names and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.
Publisher: American Psychological Association (APA)
Date: 2012
DOI: 10.1037/A0026275
Abstract: In their influential Psychological Review article, Bogacz, Brown, Moehlis, Holmes, and Cohen (2006) discussed optimal decision making as accomplished by the drift diffusion model (DDM). The authors showed that neural inhibition models, such as the leaky competing accumulator model (LCA) and the feedforward inhibition model (FFI), can mimic the DDM and accomplish optimal decision making. Here we show that these conclusions depend on how the models handle negative activation values and (for the LCA) across-trial variability in response conservativeness. Negative neural activations are undesirable for both neurophysiological and mathematical reasons. However, when negative activations are truncated to 0, the equivalence to the DDM is lost. Simulations show that this concern has practical ramifications: the DDM generally outperforms truncated versions of the LCA and the FFI, and the parameter estimates from the neural models can no longer be mapped onto those of the DDM in a simple fashion. We show that for both models, truncation may be avoided by assuming a baseline activity for each accumulator. This solution allows the LCA to approximate the DDM and the FFI to be identical to the DDM.
Publisher: Chapman and Hall/CRC
Date: 14-10-2016
Publisher: Center for Open Science
Date: 16-08-2017
Abstract: We outline an array of journal policies that JPSP:ASC could adopt to further promote transparent and responsible research practices in turn, these practices will increase the reliability of research findings published in JPSP:ASC.
Publisher: Wiley
Date: 24-10-2012
DOI: 10.1111/J.1756-8765.2011.01164.X
Abstract: After more than 15 years of study, the 1/f noise or complex-systems approach to cognitive science has delivered promises of progress, colorful verbiage, and statistical analyses of phenomena whose relevance for cognition remains unclear. What the complex-systems approach has arguably failed to deliver are concrete insights about how people perceive, think, decide, and act. Without formal models that implement the proposed abstract concepts, the complex-systems approach to cognitive science runs the danger of becoming a philosophical exercise in futility. The complex-systems approach can be informative and innovative, but only if it is implemented as a formal model that allows concrete prediction, falsification, and comparison against more traditional approaches.
Publisher: Elsevier BV
Date: 06-2012
No related grants have been discovered for Han L. J. van der Maas.