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Computational Neuroscience - Summer term 2025

A Lecture Series from Models to Applications

This interdisciplinary lecture series provides an introduction to computational neuroscience. Topics range from a general overview on neurobiology and basic modeling to neuroengineering and neuroprothetics. In winter terms a focus is given to neuroengineering whereas summer terms cover topics more strongly related to biological mechanisms.

The lecture is taught as a "Ringvorlesung" with multiple lecturers from TUM and LMU. Each lecturer will give her/his part individually and in her/his style. The lecturers and the specific topics change over the years.

Some background on Julius Bernstein, who lent his name to the Bernstein Network: Julius Bernstein (1839–1917): pioneer neurobiologist and biophysicist.

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

No video recording. Although, individual lecturers might record their lectures or provide videos, this is not generally the case. So please make sure to attend the lectures!

Moodle

More information and lecture notes will be posted on the Moodle page Moodle@elearningTUM a couple of days before each lecture listed below.

For general inquiries about the lecture, please contact PD Dr. Kay Thurley.

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

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

Thurley

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

Time: ...
Venue: ...

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 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 contact PD Dr. Kay Thurley.

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