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Computational Neuroscience - Summer term 2019

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. 

Day and Time

Tuesday 18:00-19:30 s.t., summer term 2019


LMU Main Building, Geschwister-Scholl-Platz 1, M010
floor plan

Course material

Lecture notes, slides and further material can be found at Moodle@elearningTUM. For general inquiries on the lecture please get in touch with Dr. Kay Thurley.
Some background on Julius Bernstein, who lent his name to the Bernstein Network: Julius Bernstein (1839–1917): pioneer neurobiologist and biophysicist.


1 04/23 Luksch Biology

Motivation for doing computational Neuroscience; Neuroanatomy primer: General layouts of nervous systems, overview of the human brain and forebrain, morphology of neurons, visual and auditory pathways

2 04/30 Luksch Biology

Neurophysiology primer: Basic biology of neurons, resting and acting potentials, synaptic transmission, plasticity of neuronal connections, dendritic processing

3 05/07 Herz Modelling

Single neuron models

4 05/14 Macke Modelling

Statistical inference for models of neural dynamics

5 05/21 Seeber Engineering


6 05/28 Busse Integration

Visual system I: neurobiology

7 06/04 Wachtler Integration

Visual system II: computation

06/11 holiday

no lecture -- Pentecost

8 06/18 Flanagin Integration

Human neuroimaging (fMRI), Modeling connections between brain regions

9 06/25 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

10 07/02 Sirota Integration

Systems mechanisms of learning and memory from theory to experimental data

11 07/09 Flanagin Integration

Spatial perception and navigation

12 07/16 Thurley Integration

Temporal cognition

07/23 Exam

Time: 6:00 p.m.
Venue: Room N1190 (N1 building), TUM Theresienstrasse 90

Registration for LMU students until July 12 by email  (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.