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...
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.
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: https://t.co/gQXhlpHSe6
Finally out after a long wait, a fast way to do Bayes for simulation only models, but also some cautions about the pitfalls ... https://t.co/O4OPfqsac2
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.
https://t.co/uen9xjsOMY
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!
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 https://t.co/tfx964zjxE
Surprising finding from new modeling https://t.co/E8XqFLSLLg 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 https://t.co/9ncrEZi0Xi)
Reliability of triggering the inhibitory process is a better predictor of impulsivity than SSRT. Updated version based on reviewer comments online at https://t.co/6WEEi4vak2 @PsyArXiv Code @OSFramework@AndrewHeathcot8 @dora_matzke
@danielrlittle @AdamOsth @CLudowici @msvanarmy Luce 1986 book has an example of simple RT that’s only slightly right skewed. Mixtures can also do it, I have a PLoS Computational Biology analysing supposedly accuracy emphasis monkey data where there is a speed hump. Also occurs in timed responding indicating collapsing bounds
The next issue of Computational Brain and Behavior is now available:
https://t.co/8IIPXKKT84
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.
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.
https://t.co/ZVuIWU4dTj
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.
https://t.co/nnXztUHyGU