Course material
Course videocasts and slides are available at the bottom of the page and on our SwitchTube channel.
Upcoming PsPM courses
There are regular PsPM courses. To check for updates, have a look on our news site, on bachlab news, or follow bachlab on twitter.
- 21.-22. July 2021 ESCAN 2021 Budapest (online 1.5-day PsPM satellite workshop with practical training) (This was moved by one day from the originally planned dates after the decision to hold ESCAN 2021 as a virtual conference only)
Past PsPM courses
- 30.6.-01.07.2020 ESCAN 2020 Budapest (full 2-day PsPM satellite workshop with practical training) (postponed due to COVID-19 pandemic)
- 6. April - 14. May 2020 Live online course (see course recordings and slides below)
- 30. March 2020 EMHFC 2020 Bochum (workshop on pupil size measurements) (cancelled due to COVID-19 pandemic)
- 13. November 2019: Universität Göttingen
- 2 July 2019: Aegina Summer School on Social Cognition 2019
- 5-6 June 2019: Max Planck Institute for Human Cognitive and Brain Sciences Leipzig
- 29-30 May 2018: Pre-conference workshop, Psychology & Brain, Gießen
Course slides & webcasts
All course webcasts are hosted on our SwitchTube channel.
- 01 PsPM Overview: Slides (Dominik R. Bach)
- 02 LTI & GLM: Slides (Dominik R. Bach)
- 03 SCR models: Slides (Dominik R. Bach)
- 04 Pupil size models: Slides (Christoph W. Korn)
- 05 Heart period models: Slides (Philipp C. Paulus)
- 06 Respiration & startle eye blink models: Slides (Dominik R. Bach)
- 07 Measuring fear conditioning with PsPM: Slides
- Tutorial 2: GLM (Dominik R Bach)
- Tutorial 3: non-linear SCR model and artefact control (Dominik R Bach)
- Tutorial 4: pupil size analysis (Christoph W Korn)
- Tutorial 5: Workflow automation I (Filip Melinscak)
- Slides
- Tutorial 6: Workflow automation II (Filip Melinscak)
- Slides
- Tutorial 7: cardiac, respiration, and eyeblink EMG pre-processing (Dominik R Bach)
Course preparation
For the tutorials, we suggest that participants install Matlab and PsPM on their computers, download the provided data sets, and try to replicate the instructors’ demonstrations. Useful links for all courses: