Andrew Heathcote

@AndrewHeathcot8

Professor at University of Tasmania, Mathematical Psychologist

Vrijeme pridruživanja: kolovoz 2018.

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  1. proslijedio/la je Tweet

    Stay tuned to the 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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  2. proslijedio/la je Tweet
    19. kol 2019.

    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:

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  3. 31. kol 2019.
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  4. 7. kol 2019.

    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.

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  5. 4. kol 2019.

    You can now use this approach to get Bayes Factors for any model implemented in DMC (), just remember, think about your priors!

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  6. 2. kol 2019.

    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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  7. 2. stu 2018.

    Probability Density Approximation (PDA) lets you do full Bayes estimation for a model you can only simulate. This paper with in press at BRM explores CPU/GPU speed ups and tweaks to standard sampling needed to make it work

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  8. 11. lis 2018.

    Surprising finding from new modeling 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 )

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    1. lis 2018.

    The next issue of Computational Brain and Behavior is now available: There is some really interesting new multi-disciplinary work in this issue. Keep an eye on for highlights!

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  10. 18. ruj 2018.

    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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  11. 20. kol 2018.

    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.

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  12. 20. kol 2018.

    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.

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  13. 17. kol 2018.

    Free download link for a new paper in Journals of Memory and Language developing and testing a process model of source memory

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    9. kol 2018.

    If you have to prepare graphics for University admin committees, this might be helpful.

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    10. kol 2018.

    Hey everyone! I wanted to let you know that our how to guides for undergraduate stats are up at: feel free to use them for course materials or yourself. You can also send me a note if corrections need to be made.

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  16. 7. kol 2018.

    Based on feedback from just held in Amsterdam an update of the Dynamic Models of Choice software for Bayesian estimation of evidence accumulation models is available at . Thanks to everyone who attended!

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  17. 6. kol 2018.
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  18. proslijedio/la je Tweet
    4. srp 2018.

    Check out our paper on the Bayesian hierarchical estimation of evidence-accumulation models (e.g., DDM, LBA) using differential-evolution MCMC: . I hope you enjoy our software Dynamic Models of Choice (DMC)!

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  19. proslijedio/la je Tweet
    2. kol 2018.

    The very first issue of the new official journal from the Society for Mathematical Psychology, "Computational Brain & Behavior" is now online! Hooray! Have a look at the great articles, and share this around.

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