Computational Neuroscience - Summer term 2015
Day and Time
Tuesday 18:00-20:00 s.t., summer term 2015
April 14, 2015 to July 14, 2015
Venue
LMU Main Building, Geschwister-Scholl-Platz 1 (A), Room: A 017
floor plan
Course material
Lecture notes, slides and further material can be found at Moodle@elearningTUM.
For general inquiries on the lecture or questions regarding exam/credits 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. | Date | Lecturer | Topic | |
---|---|---|---|---|
1 | 04/14 | Herz/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 | 04/21 | Luksch | Biology |
Neurophysiology primer: Basic biology of neurons, resting and acting potentials, synaptic transmission, plasticity of neuronal connections, dendritic processing |
3 | 04/28 | Herz | Modelling |
Modeling the dynamics and computations of single neurons I |
4 | 05/05 | Herz | Modelling |
Modeling the dynamics and computations of single neurons II |
5 | 05/12 | Leibold | Modelling |
Populations of neurons; Theory of neural networks and learning |
6 | 05/19 | Leibold | Modelling |
Neural coding, information theory and application to neuroscience |
7 | 05/26 | holiday |
|
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8 | 06/02 | Sirota | Integration |
Methods of systems neuroscience: measurement and perturbation of neural activity Systems mechanisms of learning and memory from theory to experimental data |
9 | 06/09 | Flanagin | Integration |
Human neuroimaging (fMRI), Modeling connections between brain regions |
10 | 06/16 | Glasauer | Integration |
Spatial perception and navigation |
11 | 06/23 | MacNeilage | Integration |
Measuring and modeling perception |
12 | 06/30 | Conradt | Engineering |
Engineering applications of brain models |
13 | 07/07 | Seeber | Engineering |
Neuroprosthetics, examples: hearing aids and implants |
14 | 07/14 | Kleinsteuber | Engineering |
Machine learning and information retrieval in high dimensional data |
15 | 07/21 | Exam |
The exam will take place in Room A 021 (LMU Main Building). |
Exam/Credits
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.