Teaching

Optimization, model fitting, and model comparison

I have been giving classes, tutorials, and workshops on optimization (including BADS), model fitting, and model comparison at summer schools and for research groups at various institutions, for a duration that ranges from 20 minutes to 4+ hours.

As representative examples:

  1. The module on computational modeling and statistical model fitting I taught at the University of Geneva in Spring 2020, as part of the graduate course Trends in Computational Neuroscience. Slides and Python notebook (link).
  2. Workshop on model fitting and BADS that I gave in 2019 at the Center for Neural Science and Department of Psychology at New York University. Tutorial slides and MATLAB code (link).

I also like to play around with visualizations for demonstration purposes. This is a demo I built of several optimizers at work (link).

If you would like to invite me to give a seminar or tutorial about these topics, in person or in telepresence, please get in touch at luigi.acerbi@gmail.com.

Places where I have been giving tutorials/workshops on model fitting:

  1. Joint Ma-Niv-Pillow lab meeting, Princeton University (Princeton, NJ, Sep 2015).
  2. IISDM decision making joint lab meeting, New York University (New York, NY, May 2016).
  3. Alex Pouget’s lab, University of Geneva (Geneva, Switzerland, Sep 2016).
  4. Konrad Kording’s lab, Northwestern University (Chicago, IL, Jun 2017).
  5. Andreas Tolias’s lab, Baylor’s College of Medicine (Houston, TX – in telepresence, Jul 2017).
  6. CoSMo summer school 2017, University of Minnesota (Minneapolis, MN, Aug 2017). Code: https://github.com/lacerbi/cosmo-2017-tutorial
  7. NYU Training Program in Computational Neuroscience, New York University (New York, NY, Sep 2017).
  8. CoSMo summer school 2018, University of Minnesota (Minneapolis, MN, Aug 2018). Code: https://github.com/lacerbi/cosmo-2018-tutorial
  9. Bristol Neuroscience Group, University of Bristol (Bristol, UK, May 2019). Code: https://github.com/lacerbi/workshop-bristol-2019
  10. International Brain Laboratory code camp, Columbia University (New York, NY, Sep 2019).
  11. Center for Neural Science, New York University (New York, NY, Sep 2019). Code: https://github.com/lacerbi/workshop-nyu-2019
  12. Psychology department, Stockholm University (Stockholm, Sweden, Nov 2019).
  13. Trends in Computational Neuroscience graduate course; Department of Neuroscience, University of Geneva (Geneva, Apr 2019).
    Website: https://github.com/lacerbi/tics-2020-tutorial
  14. IBL Computational Neuroscience course, International Brain Laboratory (Apr 2019).