QuantCog: Introduction to Quantified Cognition

This repository contains the content for the course, an Introduction to Quantified Cognition.

You can find the syllabus here.

The notebooks folder contains Jypyter notebooks for each lesson.

Annotated Bibliography

The following are papers and other sources relevant for the class:

• Wagenmakers, Eric-Jan (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14(5), 779--804. PDF

  • Covers the issues with standard frequentist approaches for calculating p-values and presents an argument for Bayesian approaches and, in particular, Bayes factor.

• Kruschke, John K. (2013). Bayesian Estimation Supersedes the t Test. Journal of Experimental Psychology: General, 142(2), 573--603. PDF

  • Excellent paper explaining and justifying a Bayesian replacement to the standard t-test.

• Gelman, Andrew (2006). Prior distributions for variance parameters in hierarchical models. Bayesian Analysis, 1(3), 515--533. PDF

  • Long story short, use half Cauchy priors for variance parameters.

• Forstmann, B. U., Tittgemeyer, M., Wagenmakers, E. J., Derrfuss, J., Imperati, D., & Brown, S. (2011). The speed-accuracy tradeoff in the elderly brain: a structural model-based approach. Journal of Neuroscience, 31(47), 17242-17249. PDF

  • Paper applying LBA to the speed--accuracy tradeoff.

• Brown, S.D., & Heathcote, A. J. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57, 153-178. PDF

  • The first presentation of the LBA model.

• Navarro, D. J., & Fuss, I. G. (2009). Fast and accurate calculations for first-passage times in Wiener diffusion models. Journal of Mathematical Psychology, 53(4), 222-230. PDF

  • Paper illustrating fast and accurate estimation of WFPT models.

• Hawkins, G., & Heathcote, A. (2021). Racing against the clock: Evidence-based vs. time-based decisions. Psychological Review. PDF

  • Independent accumulator model with a timer.

• McClelland, J. L., (2009). The place of modeling in cognitive science. Topics in Cognitive Science, 1, 11-38. HTML

• Heathcote A, Brown SD, & Wagenmakers E-J, "An Introduction to Good Practices in Cognitive Modeling", in An Introduction to Model-Based Cognitive Neuroscience, Springer, E-J Wagenmakers (ed), 1-14. PDF

  • An excellent introduction providing some rules to follow when developing and presenting cognitive models.