You are here: Home / Teaching / Computational Neuroscience / History / Computational Neuroscience - Winter term 2018/19

Computational Neuroscience - Winter term 2018/19

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., winter term 2018/19


IMETUM, Technische Universität München, Boltzmannstr. 11, Hörsaal E.126 im IMETUM Erdgeschoss

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 10/16 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 10/23 Luksch Biology

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


 10/30 Leibold Modeling Populations of neurons; Theory of neural networks and learning
4 11/06 Ahmadi Modeling Deep learning
5 11/13 Leibold Modeling Modeling dynamics and computations of single neurons
6 11/20 Leibold Modeling Neural coding, information theory and application to neuroscience
7 11/27 Seeber Engineering Neuroprosthetics I: Cochlea Implants: System overview and stimulation algorithms
8 12/04 Seeber Engineering Neuroprosthetics II: Cochlea Implants: Electric stimulation of the auditory nerve, phenomenological models
9 12/11 Wolfrum Engineering Cell-chip communication
10 12/18 Macke Modeling Statistical inference for models of neural dynamics
01/08 no lecture
11 01/15 Sirota Integration Methods of systems neuroscience
12 01/22 Hemmert Engineering Neuroprosthetics III: Key issues in neuro implants
13 01/29 Hemmert Engineering Neuroprosthetics IV: Retina Implants, Deep Brain stimulation, optical Neuro-Stimulation
02/05 no lecture
02/15 Exam

Time: 9:30 a.m.
Venue: Room 0602, Theresienstrasse, TUM (room finder)

Registration for LMU students until February 6 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.