363.002 Computational Methods in Neural Engineering
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to apply computational methods in a wide context of neural engineering. Students will have knowledge about the basic function of the nervous system and neuroprostethic devices and will be able to develop models to study the interaction of electric fields and neurons. Attendees will be able to discuss aspects of simulation models and simulation environments and their results qualitatively and quantitatively.

Subject of course

- Basic concepts of single- and multicompartment models
- Neuron models
- Models of extracellular electric stimulation
- Electrophysiology methods, e.g., patch-clamp, microelectrode-array recordings
- Analysis of electrophysiology data, e.g., spike triggered average

Teaching methods

Panel presentation to make students familiar with the field of neural engineering and the mathematical concepts. Exercises will be performed in Python or Matlab and NEURON.

Mode of examination

Written and oral



Course dates

Tue16:00 - 17:0003.10.2023Seminarraum 363 Briefing on mode, time and dates of the lecture
Tue16:00 - 17:3017.10.2023 - 23.01.2024Seminarraum 363 Lecture/Exercise
Computational Methods in Neural Engineering - Single appointments
Tue03.10.202316:00 - 17:00Seminarraum 363 Briefing on mode, time and dates of the lecture
Tue17.10.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue24.10.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue31.10.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue07.11.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue14.11.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue21.11.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue28.11.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue05.12.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue12.12.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue19.12.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue09.01.202416:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue16.01.202416:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue23.01.202416:00 - 17:30Seminarraum 363 Lecture/Exercise

Examination modalities

Reports of the exercises, oral exam

Course registration

Begin End Deregistration end
01.09.2023 00:00


Study CodeObligationSemesterPrecon.Info
066 453 Biomedical Engineering Mandatory
860 GW Optional Courses - Technical Mathematics Not specified
ALG For all Students Not specified


No lecture notes are available.

Previous knowledge

Basic programming skills in Python or Matlab.