Publications
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Matzke, D., Dolan, C.V, Logan, G.D., Brown, S.D., & Wagenmakers, E.-J. (2013). Bayesian parametric estimation of stop-signal reaction time distributions. Journal of Experimental Psychology: General, 142, 1047-1073. [Supplementary Materials]
Matzke, D., Love, J., Wiecki, T.V., Brown, S.D., Logan, G.D., & Wagenmakers, E.-J. (2013). Release the BEESTS: Bayesian ex-Gaussian estimation of stop-signal reaction time distributions. Frontiers in Psychology: Quantitative Psychology and Measurement, 4:918. Download BEESTS [Supplementary Materials]
Bakker, M., Cramer, A.O.J., Matzke, D., Kievit, R.A., van der Maas, H.L.J., Wagenmakers, E.-J., & Borsboom, D. (2013). Dwelling on the past. European Journal of Personality, 27, 120-144.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Multinomial processing trees. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 187-195). Cambridge University Press.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Signal detection theory: Parameter expansion. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 164-167). Cambridge University Press.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Getting started with WinBUGS. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 16-34). Cambridge University Press.
Trueblood, J. S., Brown, S. D., Heathcote, A., & Busemeyer, J. R. (2013). Not just for consumers: Context effects are fundamental to decision making. Psychological Science, 24(6), 901–908.
Provost, A., Johnson, B., Karayanidis, F., Brown, S. D., & Heathcote, A. (2013). Two routes to expertise in mental rotation. Cognitive Science, 37(7), 1321–1342.
Todd, J., Heathcote, A., Mullens, D., Whitson, L. R., Provost, A., & Winkler, I. (2014). What controls gain in gain control? Mismatch negativity (MMN), priors and system biases. Brain Topography, 27(4), 578–589.
Prince, M., Brown, S., & Heathcote, A. (2012). The design and analysis of state-trace experiments. Psychological Methods, 17(1), 78–99.
Heathcote, A., & Hayes, B. (2012). Diffusion versus linear ballistic accumulation: Different models for response time with different conclusions about psychological mechanisms? Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 66(2), 125–136.
Heathcote, A., & Love, J. (2012). Linear deterministic accumulator models of simple choice. Frontiers in Psychology, 3.
Prince, M., Hawkins, G., Love, J., & Heathcote, A. (2012). An R package for state-trace analysis. Behavior Research Methods, 44(3), 644–655.
Todd, J., Provost, A., Whitson, L. R., Cooper, G., & Heathcote, A. (2012). Not so primitive: Context-sensitive meta-learning about unattended sound sequences. Journal of Neurophysiology, 109(1), 99–105.
Heathcote, A., & Elliott, D. (2010). Nonlinear dynamical analysis of noisy time series. In S. J. Guastello & R. A. M. Gregson (Eds.), Nonlinear dynamical systems analysis for the behavioral sciences using real data (pp. 117–148). CRC Press.
Matzke, D., Dolan, C.V., & Molenaar, D. (2010). The issue of power in the identification of “g” with lower-order factors. Intelligence, 38, 336-344.
Freeman, E., Heathcote, A., Chalmers, K., & Hockley, W. (2010). Item effects in recognition memory for words. Journal of Memory and Language, 62(1), 1–18.
Heathcote, A., Bora, B., & Freeman, E. (2010). Recollection and confidence in two-alternative forced choice episodic recognition. Journal of Memory and Language, 62(2), 183–203.
Smith, J. L., Smith, E. A., Provost, A. L., & Heathcote, A. (2010). Sequence effects support the conflict theory of N2 and P3 in the Go/NoGo task. International Journal of Psychophysiology, 75(3), 217–226.
Karayanidis, F., Jamadar, S., Ruge, H., Phillips, N., Heathcote, A., & Forstmann, B. U. (2010). Advance preparation in task-switching: Converging evidence from behavioral, brain activation, and model-based approaches. Frontiers in Psychology, 1:25.
Heathcote, A., Brown, S., Wagenmakers, E. J., & Eidels, A. (2010). Distribution-free tests of stochastic dominance for small samples. Journal of Mathematical Psychology, 54(5), 454–463.
Eidels, A., Donkin, C., Brown, S. D., & Heathcote, A. (2010). Converging measures of workload capacity. Psychonomic Bulletin & Review, 17(6), 763–771.
Heathcote, A., & Mewhort, D. J. K. (1990). Is unbounded visual search intractable? Comment on Tsotsos, J. K., Analysing vision at the complexity level. Behavioral and Brain Sciences, 13(3), 449–449.