"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:
Weekly course: Thursday 10.00-13.00 st.
Introductory Meeting: 10 April 2025, 10.00 st
Final presentation: 17 July 2025
Location: Seminar room Caian, 4th floor, Am Propsthof 49, 53121 Bonn1
Registration
If you are interested in participating in the course, please send an e-mail to Anja Menke2 (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.
Contact
Links
- https://maps.app.goo.gl/EqNNbSj7tQCSjPWc8
- https://www.caian.uni-bonn.de/en/team/team/anja-menke
- https://basis.uni-bonn.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=261083&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung