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21.01.2022 04:03:34
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
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
- 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.
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
2 SoSe oder WiSe 28
2 SoSe oder WiSe 28
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