Block course "Lab Cognitive Modelling of Biological Agents" (MA-INF 4241)
The goal of cognitive modelling in computational neuroscience is to reverse-engineer how a real neural system solves a given cognitive task, often using reinforcement learning theory as a starting point.
This lab covers the entire cognitive modelling workflow as used in computational neuroscience. Students will address an interesting cognitive problem by (a) developing rational solutions drawing on reinforcement learning, or descriptive solutions drawing on cognitive science and mathematical psychology, (b) derive behavioural signatures of this solution by mathematical analysis or computational simulation, (c) design efficient experiments to disambiguate these solutions from real behaviour, and (d) potentially analyse existing data sets.
The course emphasises a practical, application-focused approach. Students collaborate in teams of 2, each supervised by a CAIAN researcher.
Meeting Times and Location:
Block course between 31 January and 31 March 2025
Introductory Meeting: 27 January, 15.00, Am Probsthof 49, 53121 Bonn
Final presentation: 31 March 2025
Registration
If you are interested in participating in the course, please send an e-mail to Anja Menke (caian.office@uni-bonn.de) and come to the first meeting.
If you would like to participate in the course but cannot attend the first meeting, please send us an email before the first meeting.
