You are here: Home / Teaching / Computational Neuroscience

Computational Neuroscience - Winter term 2019/20

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 2019/20

Venue

Munich School of BioEngineering (IMETUM), Technische Universität München, Boltzmannstr. 11, Hörsaal E.126 im Erdgeschoss
https://www.bioengineering.tum.de/how-to-find-us/

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.

Overview

No.DateLecturerTopic
1 10/15 Luksch Biology

Motivation for doing Computational Neuroscience; Neuroanatomy and Neurophysiology primer

2 10/22 Leibold Modelling

Modeling dynamics and computations of single neurons

3 10/29 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

4 11/05 Sirota Integration

Systems mechanisms of learning and memory from theory to experimental data

5 11/12 Leibold Modelling

Neural coding, information theory and application to neuroscience

6 11/19 Leibold Modelling

Populations of neurons; Theory of neural networks and learning

11/26

no lecture

7 12/03 Wolfrum Engineering

Cell-chip communication

8 12/10 Seeber Engineering

Neuroprosthetics I: Cochlea Implants: System overview and stimulation algorithms

9 12/17 Seeber Engineering

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

10 01/07 Hemmert Engineering

Neuroprosthetics III: Key issues in neuro implants

11 01/14 Hemmert Engineering

Neuroprosthetics IV: Retina Implants, Deep Brain stimulation, optical Neuro-Stimulation

12 01/21 Macke Modelling

Statistical inference for models of neural dynamics

13 01/28 Ahmadi Modelling

Deep learning

02/04

no lecture

02/11 Exam

Time: 8:00 a.m.
Venue: Room N1179, Theresienstrasse, TUM Building N (room finder)

Registration for LMU students until February 4 by email  (Dr. Kay Thurley)!


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