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06.12.2021 20:50:47
neu370 - Neuroprosthetics (Complete module description)
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Module label Neuroprosthetics
Module code neu370
Credit points 6.0 KP
Workload 180 h
(
2 SWS Lecture (total workload 90h: 30h contact/ 60 h 60h individual revision of lecture contents, test preparation)
1 SWS Seminar (total workload 45h: 15h contact / 30 h individual reading and preparation)
1 SWS Supervised Exercise (total workload 45h: 15h contact / 30 h individual work on portfolio tasks (interpretation of simulation results))
)
Institute directory Department of Neurosciences
Applicability of the module
  • Master's Programme Neuroscience (Master) > Background Modules
Responsible persons
Dietz, Mathias (Authorized examiners)
Dietz, Mathias (Module responsibility)
Further responsible persons
Anna Dietze
Prerequisites
Either Neurophysics (5.04.4211) or Computational Neuroscience
Skills to be acquired in this module
+ Neurosci. knowlg.
+ Expt. Methods
+ Scient. Literature
+ Social skills
+ Interdiscipl. knowlg.
+ Maths/Stats/Progr.
+ Data present./disc.
+ Ethics [/nop] Upon successful completion of this course, students

- understand how neuroprostheses work
- have an interdisciplinary understanding of the underlying principles of electrical stimulation of neurons
- can implement  a coding strategy for neuroprostheses
- knows how a cochlear implant operates in detail and why it operates this way.

 
Module contents
Topics
- electrical field distribution
- electrical stimulation of neurons
- biocompatibility
- coding strategies
- cochlear implants
- student seminar presentations on various types of neuroprothetics
Reader's advisory
Scientific articles: Copies of scientific articles for the seminar will be provided prior to the course
Text books or papers will be suggested prior to the course.
Links
Languages of instruction
Duration (semesters) 1 Semester
Module frequency annually (summer term)
Module capacity 20
Modullevel / module level EB (Ergänzungsbereich / Complementary)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method Shared course components with (cannot be credited twice): 5.04.4216 (MSc PTM); 5.04.813 (MSc H&A)
Vorkenntnisse / Previous knowledge Programming experience in Matlab or Python
Course type Comment SWS Frequency Workload of compulsory attendance
Lecture
2 SoSe oder WiSe 28
Seminar
2 SoSe oder WiSe 28
Exercises
2 SoSe oder WiSe 28
Total time of attendance for the module 84 h
Examination Time of examination Type of examination
Final exam of module
PF