Andrew Heathcote

I graduated from the University of Tasmania with a B.Sc. in Physics and Psychology in 1983 and a 1st Class Honours in Psychology in 1984. After commencing a PhD at the University of Tasmania with Don McNicol I was awarded a Commonwealth Postgraduate Fellowship. This took me to Queen’s University in Canada to work with Doug Mewhort, where I graduated with a PhD in Psychology in 1990. I was a Postdoctoral Fellow with Roger Ratcliff at Northwestern University in Chicago in 1991 and in 1992 I returned to Australia to take up a position at the University of Newcastle.

Over the next decade I held a number of Australian Research Council (ARC) Discovery Projects grants and from 2002-2006 I was Deputy Head and then Head of the School of Psychology at Newcastle. Subsequently I returned to a teaching, administration and research role, became a full Professor, and founded the Newcastle Cognition Laboratory (NewCL.org), which has grown to become a leading centre for Mathematical Psychology and Cognitive Science in Australia. In 2011 I was awarded a five-year Professorial Fellowship by the ARC, enabling me to pursue this research full time. In 2012 I was elected to the Australian Academy of Social Sciences and to the Executive of the Society for Mathematical Psychology, where I served up to 2016, including as Vice-President 2014-2015. I became a Fellow of the Psychonomic Society in 2013. From 2015-2020 I held a research chair at University of Tasmania and founded the Tasmanian Cognition Laboratory (TasCL.org). I am presently a Conjoint Professor at the University of Newcastle, Australia and Révész Visiting Professor at the Department of Psychology, University of Amsterdam.

My current research focuses on the neural and cognitive processes that enable people to make and withhold rapid choices in laboratory, work and clinical settings, and on human memory and skill acquisition. My Associate Editor roles include JEP: LMC (2009-2013), JMP since 2011 (renewed, 2015 and ongoing), PBR 2014-2016, since late 2016 Cognitive Psychology and since 2018 Computational Brain & Behavior. I have graduated 19 PhD, 2 Prof. Doc. and 7 MA students. As of September 21^st, 2021, Scopus (Google Scholar) H = 41 (53) with 6150 (10586) career citations. Since 2016 my H = 42 and i10 = 105 on Scholar.

Publications by Andrew Heathcote

Heathcote, A., Verbruggen, F., Boehler, C.N., & Matzke, D. (in press). Cognitive control of choices and action. In B.U. Forstmann & B. Turner (Eds.), An introduction to model-based cognitive neuroscience (2^nd ed.). Springer.
Salomoni, S. E., Gronau, Q. F., Heathcote, A., Matzke, D., & Hinder, M. R. (2023). Faster action reprogramming, but not stopping, with proactive cues: Combining EMG and computational modelling in response-selective stop signal tasks. Manuscript submitted for publication.
Puri, R., Hinder, M., & Heathcote, A. (2023). What mechanisms mediate prior probability effects on rapid-choice decision-making? PLOS ONE.
Taylor, P., Walker, F. R., Heathcote, A., & Aidman, E. (2023). Effects of multimodal physical and cognitive fitness training on sustaining mental health and job readiness in a military cohort. Sustainability, 15, 9016.
Gronau, Q.F., Hinder, M.R., Salomoni, S.E., Matzke, D., & Heathcote, A. (2023). A unified account of simple and response-selective inhibition. Manuscript submitted for publication.
Elliott, J. G. C., Gilboa-Schechtman, E., Grigorenko, E. L., Heathcote, A., Purdie-Greenaway, V. J., Uddin, L. Q., van der Maas, H. L. J., & Waldmann, M. R. (2022). Editorial. Psychological Review, 129, 1-3.
Ballard, T., Neal, A., Farrell, S., Lloyd, E., Lim, J., & Heathcote, A. (2022). A general architecture for modeling the dynamics of goal-directed motivation and decision making. Psychological Review, 129, 146-174.
Albertella, L., Kirkham R, …, Heathcote, A., …, & Yücel M. (2023). Building a transdisciplinary expert consensus on the cognitive drivers of performance under pressure: An international multi-panel Delphi study. Frontiers in Psychology: Performance Science, 13, 1017675.
Ciobanu, L.G., Stankov, L., Ahmed, M., Heathcote, A., Clark, S.R., & Aidman, E. (2023). Multifactorial structure of cognitive assessment tests in the UK Biobank: A combined exploratory factor and structural equation modelling analyses. Frontiers in Psychology: Cognition, 14:1054707.
Damaso, K. A. M., Williams, P. G., & Heathcote, A. (2022). What happens after a fast versus slow error, and how does it relate to evidence accumulation? Computational Brain & Behavior, 5, 527–546.
Boag, R.J., Strickland, L., Heathcote, A., Neal, A., Palada, H., & Loft, S. (2022). Evidence accumulation modelling in the wild: Understanding safety-critical decisions. Trends in Cognitive Sciences, 27, 175-188.
Strickland, L., Boag, R.J., Heathcote, A., Bowden, V., & Loft, S. (2022). Automated decision aids: When are they advisors and when do they take control of human decision making? Journal of Experimental Psychology: Applied.
Isherwood, S.J.S, Bazin, P.L., Miletic, S., Stevenson, N.R., Trutti, A.C., Tse, D.H.Y, Heathcote, A., Matzke, D., Innes, R.J., Habli, S., Sokolowski, D.R., Alkemade, A., Haberg, A.K., & Forstmann, B.U. (2023). Investigating intra-individual networks of response inhibition and interference resolution using 7T MRI. NeuroImage, 271, 119988.
van Doorn, J., Haaf, J.M., Stefan, A.M., Wagenmakers, E.-J., Cox, G.E., Davis-Stober, C.P., Heathcote, A., Heck, D., Kalish, M., Kellen, D., Matzke, D., Morey, R.D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J.N., Shiffrin, R.M., Schad, D.J., Singmann, H., Vasishth, S., Verissimo, J., Chandramouli, S., Dunn, J.C., Gronau, Q.F., Navarro, D., Yadav, H., Bockting, F., Linde, M., McMullin, S.D., Schnuerch, M., & Aust. F. (2023). Bayes factors for mixed models: A discussion. Computational Brain & Behavior, 6, 140–158.
Kumar, A., Benjamin, A. S., Heathcote, A., & Steyvers, M. (2022). Comparing models of learning and relearning in large-scale cognitive training data sets. npj Science of Learning, 7, 24.
Aidman, E., Fogarty, G. J., Crampton, J., Bond, J., Taylor, P., Heathcote, A., & Zaichkowsky, L. (2022). An app-enhanced cognitive fitness training program for athletes: The rationale and validation protocol. Frontiers in Psychology, 13, 957551.
Kvam, P., Marley, A. A. J., & Heathcote, A. (2022). A unified theory of discrete and continuous responding. Psychological Review.
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2022). Self-reported mind wandering reflects executive control and selective attention. Psychonomic Bulletin & Review, 29, 2167-2180.
Tanis, C.C., Heathcote, A., Zrubka, M., & Matzke, D. (2022). A hybrid approach to dynamic cognitive psychometrics. Manuscript submitted for publication.
Heathcote, A., Garton, R., Hinder, M.R., Reynolds, A., Tanis, C., & Matzke, D. (2022). Slower processing dominates executive-function deficits in cognitive aging. Manuscript submitted for publication.
Castro, S., Heathcote, A., Cooper, J., & Strayer, D. (accepted 16/3/2022). Dynamic workload measurement and modeling: Driving and conversing. Journal of Experimental Psychology: Applied.
Heathcote, A., & Matzke, D. (2022). Winner takes all! What are race models, and why and how should psychologists use them? Current Directions in Psychological Science, 31, 383-394.
Kucina, T., Wells, L., Lewis, I., de Salas, K., Kohl, A., Palmer, M., Sauer, J.D., Matzke, D., Aidman, E., & Heathcote, A. (2023). Calibration of cognitive tests to address the reliability paradox for decision-conflict tasks . Nature Communications, 14, 2234.
Elliott, D., Strickland, L., Loft, S., & Heathcote, A. (2022). Integrated responding improves prospective memory accuracy. Psychonomic Bulletin & Review, 29, 934-942.
Heathcote, A. & Matzke, D. (2023). The limits of marginality. Computational Brain & Behavior, 6, 28–34.
Weigard, A., Matzke, D., Tanis, C., & Heathcote, A. (2023). Cognitive process modeling addresses context independence violations in the ABCD study stop-signal task. Developmental Cognitive Neuroscience, 59, 101191.
Boehm, U., Evans, N.J., Gronau, Q.F, Matzke, D., Wagenmakers, E.-J., Heathcote, A. (2023). Inclusion Bayes Factors for mixed hierarchical Diffusion Decision Models. Psychological Methods.
Starns, J. & Heathcote, A. (in press). Evidence accumulation and decision processes. Oxford Handbook of Human Memory.
Strickland, L., Heathcote, A., Bowden, V., Boag, R., Wilson, M. D., Khan, S. & Loft, S. (2021). Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse. Psychological Science, 32,1768-1781.
Strickland, L., Heathcote, A., Humphreys, M. S., & Loft, S. (2022). Target learning in event-based prospective memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48, 1110-1126.
Reynolds, A., Garton, R., Kvam, P., Sauer, J., Osth, A. F., & Heathcote, A. (2021). A dynamic model of deciding not to choose. Journal of Experimental Psychology: General, 150(1), 42–66. [Supplementary Materials]
Hawkins, G. E., & Heathcote, A. (2021). Racing against the clock: Evidence-based versus time-based decisions. Psychological Review, 128(2), 222–263. [Supplementary Materials]
Trueblood, J. S., Heathcote, A., Evans, N. J., & Holmes, W. R. (2021). Urgency, leakage, and the relative nature of information processing in decision-making. Psychological Review, 128(1), 160–186.
Miletić, S., Boag, R. J., Trutti, A. C., Stevenson, N., Forstmann, B. U., & Heathcote, A. (2021). A new model of decision processing in instrumental learning tasks. ELife, 10, e63055.
Parker, S., Heathcote, A., & Finkbeiner, M. (2021). Establishing the separable contributions of spatial attention and saccade preparation across tasks with varying acuity demands. Journal of Experimental Psychology: Human Perception and Performance, 47(2), 172–188.
He, J. L., Hirst, R. J., Puri, R., Coxon, J., Byblow, W., Hinder, M., Skippen, P., Matzke, D., Heathcote, A., Wadsley, C. G., Hyde, C., Parmar, D., Pedapati, E., Gilbert, D. L., Huddleston, D. A., Mostofsky, S., Leunissen, I., MacDonald, H. J., Chowdhury, N. S., Gretton, M., Nikitenko, T., Zandbelt, B., Strickland, S., Puts, N. A. J. (2022). OSARI, an open-source anticipated response inhibi tion task. Behavior Research Methods, 54, 1530–1540.
van Berkel, N., Dennis, S., Zyphur, M., Li, J., Heathcote, A. & Kostakos, V. (2021). Modeling interaction as a complex system. Human-Computer Interaction, 36, 279-305.
Matzke, D., Strickland, L., Sripada, C., Weigard, A., Puri, R., He, J.L., Hirst, R.J., & Heathcote, A. (submitted). Stopping timed actions. Manuscript submitted for publication.
Damaso, K.A.M., Castro, S.C., Todd, J., Strayer, D.L., Provost, A., Matzke, D., & Heathcote, A.J. (2022). A cognitive model of response omissions in distraction paradigms. Memory & Cognition, 50, 962-978. [Supplementary Materials]
Boehm, U., Matzke, D., Gretton, M., Castro, S., Cooper, J., Skinner, M., Strayer, D., & Heathcote, A. (2021). Real-time prediction of fluctuations in cognitive workload. Cognitive Research: Principles and Implications, 6:30.
Tran, N.-H., van Maanen, L., Heathcote, A., & Matzke, D. (2021). Systematic quantitative parameter reviews in cognitive modeling: Towards robust and cumulative models of psychological processes. Frontiers in Psychology: Quantitative Psychology and Measurement, 11:608287.
Parker, S., Heathcote, A., & Finkbeiner, M. (2020). Spatial attention and saccade preparation both independently contribute to the discrimination of oblique orientations. Advances in Cognitive Psychology, 16, 329–343.
Reynolds, A., Kvam, P. D., Osth, A. F., & Heathcote, A. (2020). Correlated racing evidence accumulator models. Journal of Mathematical Psychology, 96, 102331.
Damaso, K., Williams, P., & Heathcote, A. (2020). Evidence for different types of errors being associated with different types of post-error changes. Psychonomic Bulletin & Review, 27(3), 435–440.
Strickland, L., Loft, S., & Heathcote, A. (2020). Investigating the effects of ongoing-task bias on prospective memory. Quarterly Journal of Experimental Psychology, 73(9), 1495–1513. [Supplementary Materials]
van Ravenzwaaij, D., Brown, S. D., Marley, A. A. J., & Heathcote, A. (2020). Accumulating advantages: A new conceptualization of rapid multiple choice. Psychological Review, 127(2), 186–215.
Osth, A. F., Shabahang, K. D., Mewhort, D. J. K., & Heathcote, A. (2020). Global semantic similarity effects in recognition memory: Insights from BEAGLE representations and the diffusion decision model. Journal of Memory and Language, 111, 104071. [Supplementary Materials]
Parker, S., Heathcote, A., & Finkbeiner, M. (2020). Using evidence accumulation modeling to quantify the relative contributions of spatial attention and saccade preparation in perceptual tasks. Journal of Experimental Psychology. Human Perception and Performance, 46(4), 416–433.
Skippen, P., Fulham, W.R., Michie, P.T., Matzke, D., Heathcote, A., & Karayanidis, F. (2020). Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task. Psychophysiology, 57, e13619.
Matzke, D., Logan, G.D., & Heathcote, A. (2020). A cautionary note on evidence-accumulation models of response inhibition in the stop-signal paradigm. Computational Brain & Behavior, 3, 269–288.
Gronau, Q.F., Heathcote, A., & Matzke, D. (2020). Computing Bayes factors for evidence-accumulation models using Warp-III bridge sampling. Behavioral Research Methods, 52, 918-937. [Supplementary Materials]
Strickland, L., Loft, S., & Heathcote, A. (2019). Evidence accumulation modeling of event-based prospective memory. In J. Rummel & M.A. McDaniel (Eds.), Current issues in memory: Prospective memory (pp. 78-94). Taylor & Francis.
Osth, A. F., Dunn, J. C., Heathcote, A., & Ratcliff, R. (2019). Two processes are not necessary to understand memory deficits. Behavioral and Brain Sciences, 42.
Heathcote, A. (2019). What do the rules for the wrong game tell us about how to play the right game? Computational Brain & Behavior, 2(3), 187–189.
Boag, R. J., Strickland, L., Loft, S., & Heathcote, A. (2019). Strategic attention and decision control support prospective memory in a complex dual-task environment. Cognition, 191, 103974.
Weigard, A., Heathcote, A., & Sripada, C. (2019). Modeling the effects of methylphenidate on interference and evidence accumulation processes using the conflict linear ballistic accumulator. Psychopharmacology, 236(8), 2501–2512. [Data & Code]
Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Bröder, A., Cox, G., Criss, A., Curl, R. A., Dobbins, I. G., Dunn, J., Enam, T., Evans, N. J., Farrell, S., Fraundorf, S. H., Gronlund, S. D., Heathcote, A., Heck, D. W., Hicks, J. L., … Wilson, J. (2019). Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. Advances in Methods and Practices in Psychological Science, 2(4), 335–349.
Palada, H., Neal, A., Strayer, D., Ballard, T., & Heathcote, A. (2019). Using response time modeling to understand the sources of dual-task interference in a dynamic environment. Journal of Experimental Psychology: Human Perception and Performance, 45(10), 1331–1345.
Strickland, L., Elliott, D., Wilson, M. D., Loft, S., Neal, A., & Heathcote, A. (2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of Experimental Psychology: Applied, 25(4), 695–715.
Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., … Donkin, C. (2019). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review, 26(4), 1051–1069. [Supplementary Materials]
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2019). Modeling distracted performance. Cognitive Psychology, 112, 48–80. [Supplementary Material & Code]
Bird, L., Gretton, M., Cockerell, R., & Heathcote, A. (2019). The cognitive load of narrative lies. Applied Cognitive Psychology, 33(5), 936–942.
Boag, R. J., Strickland, L., Heathcote, A., Neal, A., & Loft, S. (2019). Cognitive control and capacity for prospective memory in complex dynamic environments. Journal of Experimental Psychology. General, 148(12), 2181–2206.
Garton, R., Reynolds, A., Hinder, M. R., & Heathcote, A. (2019). Equally flexible and optimal response bias in older compared to younger adults. Psychology and Aging, 34(6), 821–835. [Supplementary Materials]
Lin, Y.-S., Heathcote, A., & Holmes, W. R. (2019). Parallel probability density approximation. Behavior Research Methods, 51(6), 2777–2799. [R package]
Dunn, J. C., Heathcote, A., & Kalish, M. (2019). Special issue on state-trace analysis. Journal of Mathematical Psychology, 90, 1–2. [Full Issue]
Heathcote, A., Holloway, E., & Sauer, J. (2019). Confidence and varieties of bias. Journal of Mathematical Psychology, 90, 31–46.
Verbruggen, F., Aron, A.R., Band, G.P.H., Beste, C., Bissett, P.G., Brockett, A.T., …, Heathcote, A., …, Matzke, D., …, Boehler, C.N. (2019). A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. eLIFE, 8, e46323. [Supplementary Materials]
Weigard, A., Heathcote, A., Matzke, D., & Huang-Pollock, C. (2019). Cognitive modeling suggests that attentional failures drive longer stop-signal reaction time estimates in attention deficit/hyperactivity disorder. Clinical Psychological Science, 7, 856-872. [Code]
Castro, S., Strayer, D., Matzke, D., & Heathcote, A. (2019). Cognitive workload measurement and modeling under divided attention . Journal of Experimental Psychology: Human Perception and Performance, 45, 826-839.
Matzke, D., Curley, S., Gong, C.Q., & Heathcote, A. (2019). Inhibiting responses to difficult choices. Journal of Experimental Psychology: General, 148, 124-142. [Supplementary Materials]
Heathcote, A., Lin, Y., Reynolds, A., Strickland, L., Gretton, M., & Matzke, D. (2019). Dynamic models of choice. Behavior Research Methods, 51, 961-985. [Software]
Skippen, P., Matzke, D., Heathcote, A., Fulham, W.R., Michie, P., Karayanidis, F. (2019). Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT. Acta Psychologica, 192, 104-117.
Weigard, A., Huang-Pollock, C., Heathcote, A., Hawk, L., & Schlienz, N. J. (2018). A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence. Psychopharmacology, 235(11), 3115–3124. [Supplementary Materials]
Palada, H., Neal, A., Tay, R., & Heathcote, A. (2018). Understanding the causes of adapting, and failing to adapt, to time pressure in a complex multistimulus environment. Journal of Experimental Psychology. Applied, 24(3), 380–399.
Strickland, L., Loft, S., Remington, R. W., & Heathcote, A. (2018). Racing to remember: A theory of decision control in event-based prospective memory. Psychological Review, 125(6), 851–887. [Supplementary Material]
Evans, N. J., Brown, S. D., Mewhort, D. J. K., & Heathcote, A. (2018). Refining the law of practice. Psychological Review, 125(4), 592–605. [Data]
Osth, A. F., Fox, J., McKague, M., Heathcote, A., & Dennis, S. (2018). The list strength effect in source memory: Data and a global matching model. Journal of Memory and Language, 103, 91–113. [Supplementary Data Set 1, Data Set 2]
Osth, A. F., Jansson, A., Dennis, S., & Heathcote, A. (2018). Modeling the dynamics of recognition memory testing with an integrated model of retrieval and decision making. Cognitive Psychology, 104, 106–142. [Data]
Weigard, A., Huang-Pollock, C., Brown, S., & Heathcote, A. (2018). Testing formal predictions of neuroscientific theories of ADHD with a cognitive model-based approach. Journal of Abnormal Psychology, 127(5), 529–539. [Supplementary Materials]
Provost, A., Jamadar, S., Heathcote, A., Brown, S. D., & Karayanidis, F. (2018). Intertrial RT variability affects level of target-related interference in cued task switching. Psychophysiology, 55(3), e12971.
Quinn, R. K., James, M. H., Hawkins, G. E., Brown, A. L., Heathcote, A., Smith, D. W., Cairns, M. J., & Dayas, C. V. (2018). Temporally specific miRNA expression patterns in the dorsal and ventral striatum of addiction-prone rats. Addiction Biology, 23(2), 631–642.
Boehm, U., Annis, J., Frank, M.J., Hawkins, G.E., Heathcote, A., Kellen, D., …, Matzke, D., & Wagenmakers, E.-J. (2018). Estimating between-trial variability parameters of the diffusion decision model: Expert advice and recommendations. Journal of Mathematical Psychology, 87, 46-75. [Supplementary Materials & Data]
Ly, A., Boehm, U., Heathcote, A., Turner, B.M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A.A. Moustafa (Ed.), Computational models of brain and behavior (pp. 467-480). Wiley Blackwell.
Grootswagers, T., Ritchie, J. B., Wardle, S. G., Heathcote, A., & Carlson, T. A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995–2010.
Osth, A. F., Bora, B., Dennis, S., & Heathcote, A. (2017). Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory. Journal of Memory and Language, 96, 36–61.
Strickland, L., Heathcote, A., Remington, R. W., & Loft, S. (2017). Accumulating evidence about what prospective memory costs actually reveal. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(10), 1616–1629. [Supplementary Materials]
Tillman, G., Strayer, D., Eidels, A., & Heathcote, A. (2017). Modeling cognitive load effects of conversation between a passenger and driver. Attention, Perception, & Psychophysics, 79(6), 1795–1803. [Supplementary Materials]
Tillman, G., Osth, A. F., van Ravenzwaaij, D., & Heathcote, A. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review, 24(6), 1949–1956.
Houpt, J. W., Heathcote, A., & Eidels, A. (2017). Bayesian analyses of cognitive architecture. Psychological Methods, 22(2), 288–303.
Sense, F., Morey, C. C., Prince, M., Heathcote, A., & Morey, R. D. (2017). Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis. Behavior Research Methods, 49(3), 853–862.
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76, 142–155. [R Code]
Bushmakin, M. A., Eidels, A., & Heathcote, A. (2017). Breaking the rules in perceptual information integration. Cognitive Psychology, 95, 1–16.
Evans, N. J., Howard, Z. L., Heathcote, A., & Brown, S. D. (2017). Model flexibility analysis does not measure the persuasiveness of a fit. Psychological Review, 124(3), 339–345.
Osth, A. F., Dennis, S., & Heathcote, A. (2017). Likelihood ratio sequential sampling models of recognition memory. Cognitive Psychology, 92, 101–126. [Data & Code]
Matzke, D., Hughes, M., Badcock, J.C., Michie, P., & Heathcote, A. (2017). Failures of cognitive control or attention? The case of stop-signal deficits in schizophrenia. Attention, Perception, & Psychophysics, 79, 1078-1086.
Matzke, D., Love, J., & Heathcote A. (2017). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Behavior Research Methods, 49, 267-281. Download Supplementary Materials.
Narra, M., Heathcote, A., & Finkbeiner, M. (2016). Time course differences between bilinguals and monolinguals in the Simon task. In J. B. Schwieter (Ed.), Cognitive control and consequences of multilingualism (pp. 399–427). John Benjamins Publishing.
Palada, H., Neal, A., Vuckovic, A., Martin, R., Samuels, K., & Heathcote, A. (2016). Evidence accumulation in a complex task: Making choices about concurrent multiattribute stimuli under time pressure. Journal of Experimental Psychology. Applied, 22(1), 1–23.
Mullens, D., Winkler, I., Damaso, K., Heathcote, A., Whitson, L., Provost, A., & Todd, J. (2016). Biased relevance filtering in the auditory system: A test of confidence-weighted first-impressions. Biological Psychology, 115, 101–111.
Davis-Stober, C. P., Morey, R. D., Gretton, M., & Heathcote, A. (2016). Bayes factors for state-trace analysis. Journal of Mathematical Psychology, 72, 116–129.
van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision-making. Behavior Research Methods, 48(1), 184–200.
Finkbeiner, M., & Heathcote, A. (2016). Distinguishing the time- and magnitude-difference accounts of the Simon effect: Evidence from the reach-to-touch paradigm. Attention, Perception, & Psychophysics, 78(3), 848–867.
Williams, P., Heathcote, A., Nesbitt, K., & Eidels, A. (2016). Post-error recklessness and the hot hand. Judgment and Decision Making, 11(2), 174-184.
Averell, L., Prince, M., & Heathcote, A. (2016). Fundamental causes of systematic and random variability in recognition memory. Journal of Memory and Language, 88, 51–69.
Holmes, W. R., Trueblood, J. S., & Heathcote, A. (2016). A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model. Cognitive Psychology, 85, 1–29. [Data]
Heathcote, A., Brown, S.D. & Wagenmakers, E.-J. (2015). An introduction to good practices in cognitive modeling. In B. U. Forstmann, & E.-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 25-48). Springer: New York.
Donkin, C., Rae, B., Heathcote, A. & Brown, S.D. (2015). Why is accurately labelling simple magnitudes so hard? In J. R. Busemeyer, J. T. Townsend, Z. J. Wang, & A. Eidels, (Eds.), Oxford handbook of computational and mathematical psychology (pp. 121-141). Oxford University Press.
Hawkins, G. E., Mittner, M., Boekel, W., Heathcote, A., & Forstmann, B. U. (2015). Toward a model-based cognitive neuroscience of mind wandering. Neuroscience, 310, 290–305.
Heathcote, A., Suraev, A., Curley, S., Gong, Q., Love, J., & Michie, P. T. (2015). Decision processes and the slowing of simple choices in schizophrenia. Journal of Abnormal Psychology, 124(4), 961–974. [Response to Editors/Reviewers]
Terry, A., Marley, A. A. J., Barnwal, A., Wagenmakers, E.-J., Heathcote, A., & Brown, S. D. (2015). Generalising the drift rate distribution for linear ballistic accumulators. Journal of Mathematical Psychology, 68–69, 49–58.
Provost, A., & Heathcote, A. (2015). Titrating decision processes in the mental rotation task. Psychological Review, 122(4), 735–754.
Trueblood, J. S., Brown, S. D., & Heathcote, A. (2015). The fragile nature of contextual preference reversals: Reply to Tsetsos, Chater, and Usher (2015). Psychological Review, 122(4), 848–853.
Heathcote, A., Coleman, J. R., Eidels, A., Watson, J. M., Houpt, J., & Strayer, D. L. (2015). Working memory’s workload capacity. Memory & Cognition, 43(7), 973–989.
Conley, A. C., Marquez, J., Parsons, M. W., Fulham, W. R., Heathcote, A., & Karayanidis, F. (2015). Anodal tDCS over the motor cortex on prepared and unprepared responses in young adults. PLOS ONE, 10(5), e0124509.
Heathcote, A., Loft, S., & Remington, R. W. (2015). Slow down and remember to remember! A delay theory of prospective memory costs. Psychological Review, 122(2), 376–410.
Rouder, J. N., Province, J. M., Morey, R. D., Gomez, P., & Heathcote, A. (2015). The lognormal race: A cognitive-process model of choice and latency with desirable psychometric properties. Psychometrika, 80(2), 491–513.
Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. Journal of Neuroscience, 34(49), 16286–16295.
Todd, J., Heathcote, A., Whitson, L. R., Mullens, D., Provost, A., & Winkler, I. (2014). Mismatch negativity (MMN) to pitch change is susceptible to order-dependent bias. Frontiers in Neuroscience, 8:180.
Cassey, P., Heathcote, A., & Brown, S. D. (2014). Brain and behavior in decision-making. PLOS Computational Biology, 10(7), e1003700.
Whitson, L. R., Karayanidis, F., Fulham, R., Provost, A., Michie, P. T., Heathcote, A., & Hsieh, S. (2014). Reactive control processes contributing to residual switch cost and mixing cost across the adult lifespan. Frontiers in Psychology, 5.
Hawkins, G. E., Marley, A. A. J., Heathcote, A., Flynn, T. N., Louviere, J. J., & Brown, S. D. (2014). The best of times and the worst of times are interchangeable. Decision, 1(3), 192–214.
Poboka, D., Karayanidis, F., & Heathcote, A. (2014). Extending the Failure-to-Engage theory of task switch costs. Cognitive Psychology, 72, 108–141.
Hawkins, G. E., Marley, A. A. J., Heathcote, A., Flynn, T. N., Louviere, J. J., & Brown, S. D. (2014). Integrating cognitive process and descriptive models of attitudes and preferences. Cognitive Science, 38(4), 701–735.
Mullens, D., Woodley, J., Whitson, L., Provost, A., Heathcote, A., Winkler, I., & Todd, J. (2014). Altering the primacy bias—How does a prior task affect mismatch negativity? Psychophysiology, 51(5), 437–445.
Trueblood, J. S., Brown, S. D., & Heathcote, A. (2014). The multiattribute linear ballistic accumulator model of context effects in multialternative choice. Psychological Review, 121(2), 179–205.
Rae, B., Heathcote, A., Donkin, C., Averell, L., & Brown, S. (2014). The hare and the tortoise: Emphasizing speed can change the evidence used to make decisions. Journal of Experimental Psychology. Learning, Memory, and Cognition, 40(5), 1226–1243.
Heathcote, A., Wagenmakers, E.-J., & Brown, S. D. (2014). The falsifiability of actual decision-making models. Psychological Review, 121(4), 676–678.
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.
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.
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.
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.
Prince, M., Hawkins, G., Love, J., & Heathcote, A. (2012). An R package for state-trace analysis. Behavior Research Methods, 44(3), 644–655.
Heathcote, A., & Love, J. (2012). Linear deterministic accumulator models of simple choice. Frontiers in Psychology, 3.
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.
Prince, M., Brown, S., & Heathcote, A. (2012). The design and analysis of state-trace experiments. Psychological Methods, 17(1), 78–99.
Dodds, P., Donkin, C., Brown, S. D., & Heathcote, A. (2011). Increasing capacity: Practice effects in absolute identification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(2), 477–492.
Mansfield, E. L., Karayanidis, F., Jamadar, S., Heathcote, A., & Forstmann, B. U. (2011). Adjustments of response threshold during task switching: A model-based functional magnetic resonance imaging study. Journal of Neuroscience, 31(41), 14688–14692.
Dodds, P., Donkin, C., Brown, S. D., Heathcote, A., & Marley, A. A. J. (2011). Stimulus-specific learning: Disrupting the bow effect in absolute identification. Attention, Perception, & Psychophysics, 73(6), 1977–1986.
Karayanidis, F., Whitson, L. R., Heathcote, A., & Michie, P. T. (2011). Variability in proactive and reactive cognitive control processes across the adult lifespan . Frontiers in Psychology, 2: 318.
Donkin, C., Brown, S., & Heathcote, A. (2011). Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator. Journal of Mathematical Psychology, 55(2), 140–151.
Karayanidis, F., Provost, A., Brown, S., Paton, B., & Heathcote, A. (2011). Switch-specific and general preparation map onto different ERP components in a task-switching paradigm. Psychophysiology, 48(4), 559–568.
Averell, L., & Heathcote, A. (2011). The form of the forgetting curve and the fate of memories. Journal of Mathematical Psychology, 55(1), 25–35.
Donkin, C., Brown, S., Heathcote, A., & Wagenmakers, E.-J. (2011). Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes? Psychonomic Bulletin & Review, 18(1), 61–69.
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.
Eidels, A., Donkin, C., Brown, S. D., & Heathcote, A. (2010). Converging measures of workload capacity. Psychonomic Bulletin & Review, 17(6), 763–771.
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.
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.
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.
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.
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., Freeman, E., Etherington, J., Tonkin, J., & Bora, B. (2009). A dissociation between similarity effects in episodic face recognition. Psychonomic Bulletin & Review, 16(5), 824–831.
Brown, S. D., Marley, A. A. J., Dodds, P., & Heathcote, A. (2009). Purely relative models cannot provide a general account of absolute identification. Psychonomic Bulletin & Review, 16(3), 583–593.
Donkin, C., Brown, S. D., & Heathcote, A. (2009). The overconstraint of response time models: Rethinking the scaling problem. Psychonomic Bulletin & Review, 16(6), 1129–1135.
Donkin, C., Averell, L., Brown, S., & Heathcote, A. (2009). Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator. Behavior Research Methods, 41(4), 1095–1110.
Donkin, C., Brown, S. D., Heathcote, A., & Marley, A. A. J. (2009). Dissociating speed and accuracy in absolute identification: The effect of unequal stimulus spacing. Psychological Research, 73(3), 308–316.
Donkin, C., Brown, S. D., & Heathcote, A. (2009). ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set. Behavior Research Methods, 41(1), 154–162.
Karayanidis, F., Mansfield, E. L., Galloway, K. L., Smith, J. L., Provost, A., & Heathcote, A. (2009). Anticipatory reconfiguration elicited by fully and partially informative cues that validly predict a switch in task. Cognitive, Affective, & Behavioral Neuroscience, 9(2), 202–215.
Bucci, S., Startup, M., Wynn, P., Heathcote, A., Baker, A., & Lewin, T. J. (2008). Referential delusions of communication and reality discrimination deficits in psychosis. British Journal of Clinical Psychology, 47(3), 323–334.
Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57(3), 153–178.
Brown, S. D., Marley, A. A. J., Donkin, C., & Heathcote, A. (2008). An integrated model of choices and response times in absolute identification. Psychological Review, 115(2), 396–425.
Sutton, K., Heathcote, A., & Bore, M. (2007). Measuring 3-D understanding on the Web and in the laboratory. Behavior Research Methods, 39(4), 926–939.
Heathcote, A., Raymond, F., & Dunn, J. (2006). Recollection and familiarity in recognition memory: Evidence from ROC curves. Journal of Memory and Language, 55(4), 495–514.
Heathcote, A., Ditton, E., & Mitchell, K. (2006). Word frequency and word likeness mirror effects in episodic recognition memory. Memory & Cognition, 34(4), 826–838.
Brown, S., & Heathcote, A. (2005). Practice increases the efficiency of evidence accumulation in perceptual choice. Journal of Experimental Psychology. Human Perception and Performance, 31(2), 289–298.
Brown, S., & Heathcote, A. (2005). A ballistic model of choice response time. Psychological Review, 112(1), 117–128.
Heathcote, A., & Elliott, D. (2005). Nonlinear dynamical analysis of noisy time series. Nonlinear Dynamics, Psychology, and Life Sciences, 9(4), 399–433.
Heathcote, A., & Brown, S. (2004). Reply to Speckman and Rouder: A theoretical basis for QML. Psychonomic Bulletin & Review, 11(3), 577–578.
Heathcote, A., & Brown, S. (2004). Beyond curve fitting? Comment on Liu, Mayer-Kress, and Newell (2003). Journal of Motor Behavior, 36(2), 225–232.
Cousineau, D., Brown, S., & Heathcote, A. (2004). Fitting distributions using maximum likelihood: Methods and packages. Behavior Research Methods, Instruments, & Computers, 36(4), 742–756.
Heathcote, A. (2004). Fitting Wald and ex-Wald distributions to response time data: An example using functions for the S-PLUS package. Behavior Research Methods, Instruments, & Computers, 36(4), 678–694.
Heathcote, A., Brown, S., & Cousineau, D. (2004). QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound. Behavior Research Methods, Instruments, & Computers, 36(2), 277–290.
Karayanidis, F., Coltheart, M., Michie, P. T., & Murphy, K. (2003). Electrophysiological correlates of anticipatory and poststimulus components of task switching. Psychophysiology, 40(3), 329–348.
Heathcote, A. (2003). Item recognition memory and the receiver operating characteristic. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(6), 1210–1230.
Brown, S., & Heathcote, A. (2003). Bias in exponential and power function fits due to noise: Comment on Myung, Kim, and Pitt. Memory & Cognition, 31(4), 656–661.
Brown, S., & Heathcote, A. (2003). QMLE: Fast, robust, and efficient estimation of distribution functions based on quantiles. Behavior Research Methods, Instruments, & Computers, 35(4), 485–492.
Brown, S., & Heathcote, A. (2003). Averaging learning curves across and within participants. Behavior Research Methods, Instruments, & Computers, 35(1), 11–21.
Brown, S., & Heathcote, A. (2002). On the use of nonparametric regression in assessing parametric regression models. Journal of Mathematical Psychology, 46(6), 716–730.
Heathcote, A. (2002). An introduction to the art. Review of “Nonlinear Dynamics: Techniques and Applications in Psychology” by R. H. Heath. Journal of Mathematical Psychology, 46(5), 609–628.
Heathcote, A., Brown, S., & Mewhort, D. J. K. (2002). Quantile maximum likelihood estimation of response time distributions. Psychonomic Bulletin & Review, 9(2), 394–401.
Andrews, S., & Heathcote, A. (2001). Distinguishing common and task-specific processes in word identification: A matter of some moment? Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(2), 514–544.
Kelly, A., Heathcote, A., Heath, R., & Longstaff, M. (2001). Response-Time Dynamics: Evidence for Linear and Low-Dimensional Nonlinear Structure in Human Choice Sequences. The Quarterly Journal of Experimental Psychology Section A, 54(3), 805–840.
Sheu, C.-F., & Heathcote, A. (2001). A nonlinear regression approach to estimating signal detection models for rating data. Behavior Research Methods, Instruments, & Computers, 33(2), 108–114.
Heathcote, A., & Brown, S. (2000). The law of practice and localist neural network models. Comment on Page, M., Connectionist modelling in psychology: A localist Manifesto. Behavioral and Brain Sciences, 23(4), 479–480.
Treloar, C., McCall, N., Rolfe, I., Pearson, S.-A., Garvey, G., & Heathcote, A. (2000). Factors affecting progress of Australian and international students in a problem-based learning medical course. Medical Education, 34(9), 708–715.
Heathcote, A., Brown, S., & Mewhort, D. J. K. (2000). The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin & Review, 7(2), 185–207.
Hill, J., Rolfe, I. E., Pearson, S.-A., & Heathcote, A. (1998). Do junior doctors feel they are prepared for hospital practice? A study of graduates from traditional and non-traditional medical schools. Medical Education, 32(1), 19–24.
Carr, S. C., MacLachlan, M., Heathcote, A., & Heath, R. A. (1997). The approaches to study inventory in Malawi: A lesson for educational testing? Psychological Teaching Review, 6, 157–164.
Heathcote, A. (1996). RTSYS: A DOS application for the analysis of reaction time data. Behavior Research Methods, Instruments, & Computers, 28(3), 427–445.
Heathcote, A., & Mewhort, D. J. (1993). Representation and selection of relative position. Journal of Experimental Psychology. Human Perception and Performance, 19(3), 488–516.
Mewhort, D. J., Braun, J. G., & Heathcote, A. (1992). Response time distributions and the Stroop task: A test of the Cohen, Dunbar, and McClelland (1990) model. Journal of Experimental Psychology: Human Perception and Performance, 18(3), 872–882.
Heathcote, A., Popiel, S. J., & Mewhort, D. J. (1991). Analysis of response time distributions: An example using the Stroop task. Psychological Bulletin, 109(2), 340–347.
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.
Heathcote, A. (1988). Screen control and timing routines for the IBM microcomputer family using a high-level language. Behavior Research Methods, Instruments, & Computers, 20(3), 289–297.
McNicol, D. & Heathcote, A. (1986). Representation of order information: An analysis of grouping effects in short-term memory. .Journal of Experimental Psychology: General, 115, 76-95.