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Computational Neuroscience - Winter term 2024/25

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 2024/25

 

Venue

Munich Institute of Biomedical Engineering (MIBE), Technische Universität München, Boltzmannstr. 11, Hörsaal E.126 im Erdgeschoss
https://www.bioengineering.tum.de/ihr-weg-zu-uns

 

More information and lecture notes will be published on our Moodle page Moodle@elearningTUM a couple of days before each lecture listed below.

Overview

No.DateLecturerTopic
1 10/15 Herz Modelling

Introduction to Computational Neuroscience

2 10/22 Luksch Biology

Neuroanatomy primer

3 10/29 Luksch Biology

Neurophysiology primer

4 11/05 Młynarski Modelling

Information theory in neurobiology

5 11/12 Gjorgjieva
Modelling

Plasticity and development of neural circuits

6 11/19

Młynarski

Modelling Probabilistic inference in the brain
7 11/26

Wolfrum

Engineering Cell-chip communication
8 12/03 Seeber Engineering

Neuroprosthetics I: Cochlear Implants: System overview and stimulation algorithms

9 12/10 Seeber Engineering

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

12/17

 

no lecture
10 01/07

Hemmert

Engineering Neuroprosthetics III: Overview and key issues in neuro implants
11 01/14 Hemmert Engineering

Neuroprosthetics IV: Electrical and optogenetic excitation of neurons

12 01/21 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

13 01/28 Sirota Integration

Systems mechanisms of learning and memory from theory to experimental data

Exam

Time:
Venue:

Registration for LMU students until January 28 by email to  Dr. Kay Thurley!

Exam/Credits

3 ECTS
In the written examination, an overview of the various aspects of computational neuroscience taugh in this course 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.

Example exam. Here you can find an example exam and the sample solutions. It provides an impression of the style of questioning, but not questions on the topics of the current semester. Due to the slightly varying lecture content and changes in the lecturers involved over the different semesters, we cannot provide further example exams. Please ask the individual lecturers for additional help, e.g., self-assessment questions, if such content is not already provided on the Moodle page.

Retake exam. Since the lecture takes place every semester, we do not offer a retake exam.

Further questions. For other questions on the exam please get in touch with Dr. Kay Thurley.


Previous editions