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Dora Matzke

Showing results (1-10 of 57) with videos related to

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Psychonomic Bulletin & Review|October 10, 2009
Psychological interpretation of the ex-Gaussian and shifted Wald parameters: a diffusion model analysisDora Matzke, Eric-Jan Wagenmakers
Behavior Research Methods|January 30, 2016
A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigmDora Matzke, Jonathon Love, Andrew Heathcote
Psychonomic Bulletin & Review|November 15, 2017
Bayesian inference for psychology, part III: Parameter estimation in nonstandard modelsDora Matzke, Udo Boehm, Joachim Vandekerckhove
Neuroscience and Biobehavioral Reviews|April 17, 2018
Towards a model-based cognitive neuroscience of stopping - a neuroimaging perspectiveAlexandra Sebastian, Birte U Forstmann, Dora Matzke
Behavior Research Methods|November 23, 2019
Computing Bayes factors for evidence-accumulation models using Warp-III bridge samplingQuentin F Gronau, Andrew Heathcote, Dora Matzke
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Reliability of triggering the stop process is related to prefrontal-subthalamic hyperdirect pathway recruitmentAlexandra Sebastian, Birte U Forstmann, Dora Matzke
Developmental Cognitive Neuroscience|January 5, 2023
A cognitive process modeling framework for the ABCD study stop-signal taskAlexander Weigard, Dora Matzke, Charlotte Tanis, et al.
Psychonomic Bulletin & Review|January 8, 2025
Parameter identifiability in evidence-accumulation models: The effect of error rates on the diffusion decision model and the linear ballistic accumulatorMalte Lüken, Andrew Heathcote, Julia M Haaf, et al.
Behavior Research Methods|January 10, 2024
A hybrid approach to dynamic cognitive psychometrics : Dynamic cognitive psychometricsCharlotte C Tanis, Andrew Heathcote, Mark Zrubka, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|February 13, 2020
Cognitive Modeling Suggests That Attentional Failures Drive Longer Stop-Signal Reaction Time Estimates in Attention Deficit/Hyperactivity DisorderAlexander Weigard, Andrew Heathcote, Dora Matzke, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Psychonomic Bulletin & Review|October 10, 2009
Psychological interpretation of the ex-Gaussian and shifted Wald parameters: a diffusion model analysisDora Matzke, Eric-Jan Wagenmakers
Behavior Research Methods|January 30, 2016
A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigmDora Matzke, Jonathon Love, Andrew Heathcote
Psychonomic Bulletin & Review|November 15, 2017
Bayesian inference for psychology, part III: Parameter estimation in nonstandard modelsDora Matzke, Udo Boehm, Joachim Vandekerckhove
Neuroscience and Biobehavioral Reviews|April 17, 2018
Towards a model-based cognitive neuroscience of stopping - a neuroimaging perspectiveAlexandra Sebastian, Birte U Forstmann, Dora Matzke
Behavior Research Methods|November 23, 2019
Computing Bayes factors for evidence-accumulation models using Warp-III bridge samplingQuentin F Gronau, Andrew Heathcote, Dora Matzke
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Reliability of triggering the stop process is related to prefrontal-subthalamic hyperdirect pathway recruitmentAlexandra Sebastian, Birte U Forstmann, Dora Matzke
Developmental Cognitive Neuroscience|January 5, 2023
A cognitive process modeling framework for the ABCD study stop-signal taskAlexander Weigard, Dora Matzke, Charlotte Tanis, et al.
Psychonomic Bulletin & Review|January 8, 2025
Parameter identifiability in evidence-accumulation models: The effect of error rates on the diffusion decision model and the linear ballistic accumulatorMalte Lüken, Andrew Heathcote, Julia M Haaf, et al.
Behavior Research Methods|January 10, 2024
A hybrid approach to dynamic cognitive psychometrics : Dynamic cognitive psychometricsCharlotte C Tanis, Andrew Heathcote, Mark Zrubka, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|February 13, 2020
Cognitive Modeling Suggests That Attentional Failures Drive Longer Stop-Signal Reaction Time Estimates in Attention Deficit/Hyperactivity DisorderAlexander Weigard, Andrew Heathcote, Dora Matzke, et al.
Pageof 6