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Computational Neuroscience - Winter term 2020/21

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 2020/21

Venue

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.

Overview

No.DateLecturerTopic
1 11/03 Luksch Biology

Motivation for doing Computational Neuroscience; Neuroanatomy primer

2 11/10 Luksch Biology

Neurophysiology primer

3 11/17 Leibold Modelling

Modeling dynamics and computations of single neurons

4 11/24 Seeber Engineering

Neuroprosthetics I: Cochlear Implants

5 12/01 Leibold Modelling

Neural coding, information theory and application to neuroscience

6 12/08 Leibold Modelling

Populations of neurons; Theory of neural networks and learning

7 12/15 Ahmadi Modelling

Deep learning

12/22

no lecture

8 01/12 Hemmert Engineering

Neuroprosthetics II: Overview and key issues in neuro implants

9 01/19 Hemmert Engineering

Neuroprosthetics III: Electrical and optogenetic excitation of neurons

10 01/26 Wolfrum Engineering

 Cell-chip communication

11 02/02 Sirota Integration

 Methods of systems neuroscience: measurement and perturbation of neural activity

12 02/09

Sirota

Integration  Systems mechanisms of learning and memory from theory to experimental data
Exam

Exam/Credits

3 ECTS
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