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Research

Dr. Andrew Heathcote, University of Tasmania, AU

Dates of visit: July|August 2015, July|August 2016, July|August 2017 Hosts: Birte Forstmann, Eric-Jan Wagenmakers

Prof. Heathcote is an internationally recognized expert in mathematical psychology and cognitive modeling. His work focuses on developing and applying state-of-the art statistical techniques to the analysis of behavioral and neuroscience data. Prof. Heathcote’s pioneering work on response time distributions and cognitive process models of choice and response times has been highly cited and has facilitated the interpretation of the results of a vast number of experimental, clinical, and neuropsychological investigations.

The ABC-VIP grant enbles to pursue the long-standing and productive collaboration with the Psychology Department of the University of Amsterdam. Within the Psychological Methods group, Prof. Heathcote has successful collaborations with Prof. Dr. Eric-Jan Wagenmakers, Dr. Leendert van Maanen, and Jonathon Love on the development and application of response time models in healthy as well as clinical populations [1-4]. Moreover, Prof. Heathcote has ongoing collaboration with Dr. Dora Matzke and Jonathon Love on developing an innovative Bayesian model of response inhibition [5]. Within the Brain and Cognition department, Prof. Heathcote has very productive collaboration with Prof. Dr. Birte Forstmann that focuses on combining mathematical modeling with neuroscientific measurements. His work with the Forstmann-lab has addressed various topics, such as perceptual decision-making, and the neural correlates of adaptive and executive control processes that are involved in mind wandering and task switching [3, 5-9]. Moreover, Prof. Heathcote has a long-standing collaboration with Dr. Guy Hawkings that focuses on the development of models of choice response times, and more recently on the application of these models to consumer choice and choices involved in end of life care [10]. Prof. Heathcote’s involvement with the Psychological Methods and the Brain and Cognition group is highlighted with his valuable contribution to the book “An Introduction to Model-Based Cognitive Neuroscience” by Forstmann and Wagenmakers that has been recently published by Springer.

Prof. Heathcote’s visits to the University of Amsterdam are connected to the annual “Model-based Neuroscience Summer School” organized by the Forstmann-lab (http://www.modelbasedneuroscience.com/index.html). Moreover, he participates in weekly labmeetings and will provide his expert input in ongoing and future projects in the Wagenmakers as well as the Forstmann-lab.

Prof. Heathcote is an internationally recognized expert of interdisciplinary model-based analysis of behavior and brain data, with a large number of established collaborations at the Department of Psychology.

Andrew Heathcote - University of Tasmania, School of Medicine, Discipline of Psychology

http://www.newcl.org/heathcote

[1] Heathcote, A., Wagenmakers, E.-J., & Brown, S. D. (2014). The falsifiability of actual decision-making models. Psychological Review, 121, 676-678.

[2] 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, 61-69.

[3] van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (in press). The impact of MRI scanner environment on perceptual decision making. Behavior Research Methods.

[4] Heathcote, A., Suraev, A., Curley, S., Gong, Q., Love, J., & Michie, P.T. (2015). Decision processes and the slowing of simple choices in schizophrenia. Manuscript submitted for publication.

[5] Matzke, D., Love. J., & Heathcote, A. (2015). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Manuscript in preparation.

[6] Mittner, M., Boekel, W., Tucker, A., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. The Journal of Neuroscience, 34, 16286-16295.

[7] Mansfield, E. L., Karayanidis, F., Jamadar, S., Heathcote, A., & Forstmann, B. U. (2011). Adjustments of response threshold during task switching: A model-based fMRI study. The Journal of Neuroscience, 12, 14688-14692.

[8] 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 Cognition, 1: 25.

[9] Hawkins, G. E., Mittner, M., Heathcote, A., & Forstmann, B. U. (in prep). Neural data aids identification of discrete cognitive states during mind wandering. Manuscript in preparation.

[10] Hawkins, G. E., Marley, A. A. J., Heathcote, A., Brown, S. D., & Flynn, T. N. (in prep.). Considered and automatic choices about end of life care: A response time analysis. Manuscript in preparation.

[11] Heathcote, A., Brown, S. D., & Wagenmakers, E.-J. (in press). An introduction to good practices in cognitive modeling. In B. U. Forstmann, & E.-J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience. Springer: New York.