Computational Neuroscience - Summer term 2025
Interdisciplinary lecture series taught by neuroscience experts from TUM and LMU that provides an introduction to computational neuroscience. Topics range from a general overview on neurobiology and basic modeling to neuroengineering and -prothetics. In winter terms a focus is given to neuroengineering and -prothetics whereas summer terms cover topics more strongly related to biological mechanisms.
Some background on Julius Bernstein, who lent his name to the Bernstein Network: Julius Bernstein (1839–1917): pioneer neurobiologist and biophysicist.
For general inquiries about the lecture, please contact PD Dr. Kay Thurley.
Day and Time
Tuesday 18:00-19:30 s.t., summer term 2025
Venue
LMU Main
Building, Geschwister-Scholl-Platz 1,
E 216
floor plan
More information and lecture notes will be posted on our Moodle page Moodle@elearningTUM a couple of days before each lecture listed below.
Overview
| No. | Date | Lecturer | Topic | |
|---|---|---|---|---|
| 1 | 04/29 | Herz | Modelling |
Introduction to Computational Neuroscience |
| 2 | 05/06 | Luksch | Biology |
Neuroanatomy primer |
| 3 | 05/13 | Luksch | Biology |
Neurophysiology primer |
| 4 | 05/20 | Młynarski | Modelling |
Information theory in neurobiology |
| 5 | 05/27 |
Gjorgjieva |
Modelling |
Plasticity and development of neural circuits |
| 6 | 06/03 | Seeber | Engineering |
Cochlear Implants |
| 06/10 | no lecture -- Pentecost | |||
| 7 | 06/17 | Busse | Integration |
Visual system I: neurobiology |
| 8 | 06/24 | Wachtler | Integration |
Visual system II: computation |
| 9 | 07/01 | Integration | Temporal cognition | |
| 10 | 07/08 | Flanagin | Integration |
Spatial perception and navigation |
| 11 | 07/15 | Sirota | Integration |
Methods of systems neuroscience: measurement and perturbation of neural activity |
| 12 | 07/22 | Sirota | Integration |
Systems mechanisms of learning and memory from theory to experimental data |
| Exam |
Registration for LMU students until ... by email to PD Dr. Kay Thurley! |
Exam/Credits
3 ECTS
In the written examination, an overview of the various
aspects of computational neuroscience taugh in this course will be
tested. Knowledge-based learning outcomes from the lecture as well as
the understanding and ability to solve (practical) problems will be
assessed in a 60 min written examination with questions set and
corrected by the respective lecturers.
Example exam. Here you can find an example exam and the sample solutions. It provides an impression of the style of questioning, but not questions on the topics of the current semester. Due to the slightly varying lecture content and changes in the lecturers involved over the different semesters, we cannot provide further example exams. Please ask the individual lecturers for additional help, e.g., self-assessment questions, if such content is not already provided on the Moodle page.
Retake exam.
The course runs every semester, so you can
repeat the exam regularly next semester, but be
advised that focus changes between summer and
winter semesters. This means that the exam in
the summer will examine somewhat different
material than in the winter, albeit the core
will stay the same. Hence taking the repeat in
the summer is not so advised.
Further questions. For other questions on the exam please get in touch with PD Dr. Kay Thurley.