Acknowledgements

“If I have seen further, it is by standing on the shoulders of giants.” - Isaac Newton (1675)

Acknowledgments

The course material would not be possible without the prior work of many others. In particular we would like to acknowledge:

  • Simon Farrell, John Kruschke, Ben Lambert, Stephan Lewandowsky, Michael Lee, Richard McElreath, and Eric-Jan Wagenmakers for their excellent textbooks which have heavily shaped the course content and structure
  • Woo-Young Ahn, Nate Haines, Jan Gläscher and Antonius Wiehler for their support in developing the initial version of these materials

Future content

We are hoping to further expand the content covered in this course. Examples for additional workshops include:

  • Applying a wider family of computational models (delay discounting, intertemporal choice)
  • Computational modeling of decision-making tasks using the hBayesDM package1 in R
  • Practical examples of implementing model-based fMRI

So make sure to stay up-to-date with the website by starring ⭐ the GitHub repository!

Footnotes

  1. Ahn, W. Y., Haines, N., & Zhang, L. (2017). Revealing neurocomputational mechanisms of reinforcement learning and decision-making with the hBayesDM package. Computational Psychiatry (Cambridge, Mass.), 1, 24.↩︎