Computational Neuroscience - Summer term 2017
Day and Time
Tuesday 18:00-19:30 s.t., summer term 2017
Venue
LMU Main Building, Geschwister-Scholl-Platz 1 (A), Room: A014
floor plan
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. | Date | Lecturer | Topic | |
|---|---|---|---|---|
| 1 | 04/25 | 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 | 05/02 | Luksch | Biology |
Neurophysiology primer: Basic biology of neurons, resting and acting potentials, synaptic transmission, plasticity of neuronal connections, dendritic processing |
| 3 | 05/09 | Sirota | Biology |
Systems mechanisms of learning and memory: theory, methods and their application |
| 4 | 05/16 | Herz | Modelling | Modeling dynamics and computations of single neurons |
| 5 | 05/23 | Glasauer | Integration | Spatial perception and navigation |
| 6 | 05/30 | Ahmadi | Modelling | Deep learning |
| 06/06 | holiday | Pentecost | ||
| 7 | 06/13 | Busse | Integration | Visual system I: neurobiology |
| 8 | 06/20 | Wachtler | Integration | Visual system II: computation |
| 9 | 06/27 | Herz | Modelling | Theory of neural networks and learning |
| 10 | 07/04 | Seeber | Engineering | Neuroprosthetics I: Cochlea Implants: System overview and stimulation algorithms |
| 11 | 07/11 | Seeber | Engineering | Neuroprosthetics II: Cochlea Implants: Electric stimulation of the auditory nerve, phenomenological models |
| 12 | 07/18 | Conradt | Engineering | Engineering applications of brain models |
| 13 | 07/25 | Exam |
Time: 6:00 p.m. Registration for LMU students until July 11 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.
