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Computational Neuroscience - Winter term 2023/24

A Lecture Series from Models to Applications

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 on the lecture please get in touch with Dr. Kay Thurley

Day and Time

Tuesday 18:00-19:30 s.t., winter term 2023/24


Munich Institute of Biomedical Engineering (MIBE), Technische Universität München, Boltzmannstr. 11, Hörsaal E.126 im Erdgeschoss


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


1 10/17 Luksch Biology

Neuroanatomy primer

2 10/24 Luksch Biology

Neurophysiology primer

3 10/31 Herz Modelling

Introduction to Computational Neuroscience

4 07/11 Młynarski Modelling

Information theory in neurobiology

5 11/14 Młynarski Modelling

Perceptual inference in the brain

6 11/21


Modelling Plasticity and development of neural circuits
7 11/28


Engineering Cell-chip communication
8 12/05 Seeber Engineering

Neuroprosthetics I: Cochlear Implants: System overview and stimulation algorithms

9 12/12 Seeber Engineering

Neuroprosthetics II: Cochlear Implants: Electric stimulation of the auditory nerve, phenomenological models


no lecture

10 01/09


Engineering Neuroprosthetics III: Overview and key issues in neuro implants
11 01/16


Engineering Neuroprosthetics IV: Electrical and optogenetic excitation of neurons
12 01/23 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

13 01/30 Sirota Integration

 Systems mechanisms of learning and memory from theory to experimental data

02/12 Exam

Time: 11:00 a.m.
Venue: N1070, Theresienstrasse, TUM Building N (room finder)

Registration for LMU students until January 30 by email to  Dr. Kay Thurley!


In the written examination, an overview of the various aspects of computational neuroscience 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. For questions on the exam please get in touch with Dr. Kay Thurley.
Here you can find an example exam and the sample solutions.

Previous editions