Professor at University of Tasmania, Mathematical Psychologist

Australia
Joined August 2018
Andrew Heathcote retweeted
I'm thrilled to finally share our pre-print on using cognitive process modeling to address context independence violations in the ABCD Study stop-signal task! The culmination of over a year of work with @dora_matzke, @CharlotteCTanis and @AndrewHeathcot8...
Cognitive process modeling addresses context independence violations in the ABCD Study stop-signal task biorxiv.org/cgi/content/shor… #biorxiv_neursci
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New #AllThingsCognition podcast episode @lmickes interviews Andrew Heathcote @AndrewHeathcot8 on #gocrpi paper on predicting brief changes in workload wp.me/p8IxYp-1V1 wp.me/p8IxYp-1V1
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Stay tuned to the @CompBrainBeh account: in the next two weeks we will feature a different accepted paper each day! Many of them discuss the important topic of robustness and reproducibility in computational modeling of cognition.
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Andrew Heathcote retweeted
Our paper got published in PNAS this week! It's a cool study of big data from Lumosity's brain training platform. We learn about task switching, practice, and the effects of age: pnas.org/content/early/2019/…
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Finally out after a long wait, a fast way to do Bayes for simulation only models, but also some cautions about the pitfalls ... link.springer.com/epdf/10.37…
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Want a tractable measurement model of multi-alternative choice that can handle competition phenomena and Hicks Law? van Ravenzwaaij, D., Brown, S.D., Marley, A.J. & Heathcote, A. (in press) Accumulating advantaged, Psychological Review. dropbox.com/s/bmpiv40km8ucqn…
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Huge amount of work by Dora on a hard problem with an important lesson: recovering estimated parameters does not necessarily mean your model is identified!
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Probability Density Approximation (PDA) lets you do full Bayes estimation for a model you can only simulate. This paper with @YiShinLin1 in press at BRM explores CPU/GPU speed ups and tweaks to standard sampling needed to make it work tascl.org/uploads/4/9/3/3/49…
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Surprising finding from new modeling dora.erbe-matzke.com/papers/… that it is not traditional stop-signal RT that is linked to real world impulse control but rather failures to attend to the goal of stopping (see also dora.erbe-matzke.com/papers/…)
Reliability of triggering the inhibitory process is a better predictor of impulsivity than SSRT. Updated version based on reviewer comments online at psyarxiv.com/vg5rd/ @PsyArXiv Code @OSFramework @AndrewHeathcot8 @dora_matzke
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Andrew Heathcote retweeted
The next issue of Computational Brain and Behavior is now available: link.springer.com/journal/42… There is some really interesting new multi-disciplinary work in this issue. Keep an eye on @CompBrainBeh for highlights!
This new modeling allows you assess the ability to inhibit responses to difficult choices, I think it has potential to greatly expand measurement and understanding of cognitive control.
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More work with Alex Weigard (inc. a new LBA model of the flanker task) Weigard et al. (in press). A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence. Psychopharmacology. tascl.org/uploads/4/9/3/3/49…
New work with Alex Weigard applying the LBA to ADHD Weigard, et al. (2018). Testing formal predictions of neuroscientific theories of ADHD with a cognitive model–based approach. Journal of Abnormal Psychology, 127(5), 529. tascl.org/uploads/4/9/3/3/49…
Free download link for a new paper in Journals of Memory and Language developing and testing a process model of source memory protect-au.mimecast.com/s/Fk…
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Based on feedback from modelbasedneuroscience.com/ just held in Amsterdam an update of the Dynamic Models of Choice software for Bayesian estimation of evidence accumulation models is available at osf.io/pbwx8. Thanks to everyone who attended!
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