You are here: Home / Teaching / Computational Neuroscience / History / Computational Neuroscience - Summer term 2016

Computational Neuroscience - Summer term 2016

A Lecture Series from Models to Applications


Day and Time

Tuesday 18:00-19:30 s.t., summer term 2016
April 12, 2016 to July 12, 2016

Venue

LMU Main Building, Geschwister-Scholl-Platz 1 (A), Room: A 017
floor plan

Course material

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 04/12 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 04/19 Luksch Biology

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

3 04/26 Herz Modelling

Modeling dynamics and computations of single neurons

4 05/03 Herz Modelling

Modeling synaptic transmission

5 05/10 Herz Modelling

Populations of neurons; Theory of neural networks and learning

Neural coding, information theory and application to neuroscience

05/17 holiday Pentecost
6 05/24 Sirota Integration Systems mechanisms of learning and memory : theory, methods and their application
7 05/31 Glasauer Integration Spatial perception and navigation
8 06/07 MacNeilage Integration Measuring and modeling perception
9 06/14 Flanagin Integration Human neuroimaging (fMRI), Modeling connections between brain regions
10 06/21 Wachtler Integration Neural mechanisms and models of visual processing
11 06/28 Seeber Engineering Neuroprosthetics: hearing aids and implants
12 07/05 Richter/Conradt Engineering Engineering applications of brain models
13 07/12 Exam

Time: 6:00 p.m.
Venue: A021, LMU Main Building

Registration for LMU students until July 5 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.