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Computational Neuroscience - Summer term 2023

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., summer term 2023

Venue

LMU Main Building, Geschwister-Scholl-Platz 1, E 004
floor plan


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

Overview

No.DateLecturerTopic
1 04/18 Herz Modelling

Introduction to Computational Neuroscience

2 04/25 Luksch Biology

Neuroanatomy primer

3 05/02 Luksch Biology

 Neurophysiology primer

4 05/09 Gjorgjieva Modelling

Plasticity and development of neural circuits

5 05/16 Busse Integration

Visual system I: neurobiology

6 05/23

Wachtler

Modelling Visual system II: computation
05/30


no lecture -- Pentecost
7 06/06 Seeber Engineering

Neuroprosthetics

8 06/13 Flanagin Integration

Human neuroimaging (fMRI), Modeling connections between brain regions

9 06/20 Thurley Integration

Temporal cognition

10 06/27

Flanagin

Integration Spatial perception and navigation
07/04

 

no lecture
11 07/11 Sirota Integration

Methods of systems neuroscience: measurement and perturbation of neural activity

12 07/18 Sirota Integration

Systems mechanisms of learning and memory from theory to experimental data

07/27 Exam

Time: 11:00 a.m.
Venue: TUM

Registration for LMU students until July 18 by email to  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