This seminar explores how humans and computers learn, comparing insights from cognitive neuroscience with concepts from computational modeling. Across several core topics, we will examine human cognitive phenomena, their biological underpinnings in the brain, and corresponding approaches in artificial systems. By discussing similarities and differences between natural and artificial learning, students will gain a deeper understanding of both neuroscience and computational perspectives. Active participation and hands-on exercises will foster critical reflection on what it means to "learn" in minds and machines.
Seminarplatzvergabe:
Für diese Veranstaltung gibt es eine zentrale Platzvergabe. Studierende werden darüber gesondert per Mail informiert. Bei Fragen zum Vorgehen wenden Sie sich bitte direkt an: seminarplatzvergabe-psychologie@uni-bielefeld.de
- Programmierkenntnisse in R
- Neurowissenschaften 2 (parallel oder abgeschlossen)
- Neurowissenschafliches Vorwissen
Dayan, P. (2001). Theoretical neuroscience: Computational and mathematical modeling of neural systems. Massachusetts Institute of Technology Press.
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
one-time | Mo | 18-20 | ONLINE | 27.10.2025 | Einführung |
one-time | Fr | 10-12 | U2-135 | 14.11.2025 | |
one-time | Fr | 12-17 | S1-111 | 14.11.2025 | |
one-time | Sa | 10-17 | V7-140 | 15.11.2025 | |
one-time | Fr | 10-12 | S0-123 | 28.11.2025 | |
one-time | Fr | 12-17 | S1-111 | 28.11.2025 | |
one-time | Sa | 10-17 | V7-140 | 29.11.2025 |
Module | Course | Requirements | |
---|---|---|---|
27-AF-Neuro2 Aufbaumodul zum Anwendungsfach IV - Neurowissenschaften | AF-Neuro2.1 Neurowissenschaften 2 Vertiefung I | Ungraded examination
Graded examination |
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.