Bioinformatics I (autumn 2016): This course covers basic modern molecular biology and algorithms used in bioinformatics research. The course website currently has the course materials from previous years for reference. The site will be updated in autumn 2016.
Bioinformatics II (spring 2017): This builds on Bioinformatics 1, and covers statistical and machine learning approches in bioinformatics. The course website currently has the course materials from previous years for reference.
Neural Information Processing (NIP, spring 2016): Here we cover material at the interface of neuroscience and machine learning. My part is about log-linear models of neuronal populations. See the course website for lectures and relevant materials.
The handout for the PoN (MSc Neuroscience/Neuroinformatics) lecture “Modelling Synaptic Transmission” is availble here. Over several years, this handout has evolved into a rather comprehensive review, and I will cover only things I deem most interesting (which change every year). Please let me know if there are mistakes or important omissions - this handout is constantly improved and extended, and may even be published as a review one day. Update 27. Apr 2013: the review is out now!
VLSI Electrophysiology: For teaching purposes, I have developed software for Tobi Delbrueck’s VLSI retina chip to visualise spike data and create PSTH’s. More information is here. More recently we have also used Tobi’s DVS chip to demonstrate how our retina functions. I’d be keen to hear about similar projects elsewhere.
Potential Students: I’m happy to supervise UG4, MSc and PhD projects in computational neuroscience, please contact me (best with ideas) if you are interested.