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 …

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.↩︎