Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Burbeck, Stephen L
1985.
A physiologically motivated model for change detection in audition.
Journal of Mathematical Psychology,
Vol. 29,
Issue. 1,
p.
106.
Maris, Eric
1993.
Additive and multiplicative models for gamma distributed random variables, and their application as psychometric models for response times.
Psychometrika,
Vol. 58,
Issue. 3,
p.
445.
Heathcote, Andrew
1998.
Neuromorphic models of response time.
Australian Journal of Psychology,
Vol. 50,
Issue. 3,
p.
157.
Smith, Philip L.
1998.
Bloch's law predictions from diffusion process models of detection.
Australian Journal of Psychology,
Vol. 50,
Issue. 3,
p.
139.
Van Zandt, Trisha
2000.
How to fit a response time distribution.
Psychonomic Bulletin & Review,
Vol. 7,
Issue. 3,
p.
424.
Smith, Philip L.
2000.
Stochastic Dynamic Models of Response Time and Accuracy: A Foundational Primer.
Journal of Mathematical Psychology,
Vol. 44,
Issue. 3,
p.
408.
Schwarz, Wolfgang
2001.
The ex-Wald distribution as a descriptive model of response times.
Behavior Research Methods, Instruments, & Computers,
Vol. 33,
Issue. 4,
p.
457.
Miller, Jeff
and
Schwarz, Wolfgang
2006.
Dissociations between reaction times and temporal order judgments: A diffusion model approach..
Journal of Experimental Psychology: Human Perception and Performance,
Vol. 32,
Issue. 2,
p.
394.
Wagenmakers, Eric-Jan
Van Der Maas, Han L. J.
and
Grasman, Raoul P. P. P.
2007.
An EZ-diffusion model for response time and accuracy.
Psychonomic Bulletin & Review,
Vol. 14,
Issue. 1,
p.
3.
Matzke, Dora
and
Wagenmakers, Eric-Jan
2009.
Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis.
Psychonomic Bulletin & Review,
Vol. 16,
Issue. 5,
p.
798.
Smith, Philip L.
2010.
From Poisson shot noise to the integrated Ornstein–Uhlenbeck process: Neurally principled models of information accumulation in decision-making and response time.
Journal of Mathematical Psychology,
Vol. 54,
Issue. 2,
p.
266.
Román, Pablo E.
and
Velásquez, Juan D.
2013.
Advanced Techniques in Web Intelligence-2.
Vol. 452,
Issue. ,
p.
35.
Román, Pablo E.
and
Velásquez, Juan D.
2014.
A neurology-inspired model of web usage.
Neurocomputing,
Vol. 131,
Issue. ,
p.
300.
Busemeyer, Jerome R.
Kvam, Peter D.
and
Pleskac, Timothy J.
2020.
Comparison of Markov versus quantum dynamical models of human decision making.
WIREs Cognitive Science,
Vol. 11,
Issue. 4,
Matzke, Dora
Logan, Gordon D.
and
Heathcote, Andrew
2020.
A Cautionary Note on Evidence-Accumulation Models of Response Inhibition in the Stop-Signal Paradigm.
Computational Brain & Behavior,
Vol. 3,
Issue. 3,
p.
269.