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Computational Neuroscience - Summer term 2021

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., summer term 2021


The course will be held as an online lecture. More information and lecture notes will be posted on our Moodle site Moodle@elearningTUM about one week before the date of each lecture listed below.
At the regular time of the lecture, lecturers will be available for questions either via Zoom, chat or forum. Details will be announced on Moodle too.


1 04/13 Luksch Biology

Motivation for doing Computational Neuroscience; Neuroanatomy primer

2 04/20 Luksch Biology

Neurophysiology primer

3 04/27 Leibold Modelling

Modeling dynamics and computations of single neurons

4 05/04 Seeber Engineering


5 05/11 Flanagin Integration

Human neuroimaging (fMRI), Modeling connections between brain regions

6 05/18 Busse Integration

Visual system I: neurobiology

05/24 holiday

no lecture -- Pentecost

7 06/01 Wachtler Modelling

Visual system II: computation

8 06/08 Thurley Integration

Temporal cognition

9 06/15 Flanagin Integration

Spatial perception and navigation

10 06/22 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

11 06/29 Sirota Integration

Systems mechanisms of learning and memory from theory to experimental data

12 07/06


Modelling Plasticity and development of neural circuits
07/26 Exam

Time: 11:30 a.m.
Venue: Rooms 1100 (room finder) and 0606 (room finder), Theresienstrasse, TUM

Registration for LMU students until July 7 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.