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.

2022W, 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 - 17:0004.10.2022Bibliothek E363 Briefing on mode, time and dates of the lecture
Tue16:00 - 17:3011.10.2022 - 24.01.2023Seminarraum 363 Lecture/Exercise
Computational Methods in Neural Engineering - Single appointments
Tue04.10.202216:00 - 17:00Bibliothek E363 Briefing on mode, time and dates of the lecture
Tue11.10.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue18.10.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue25.10.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue08.11.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue22.11.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue29.11.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue06.12.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue13.12.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue20.12.202216:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue10.01.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue17.01.202316:00 - 17:30Seminarraum 363 Lecture/Exercise
Tue24.01.202316:00 - 17:30Seminarraum 363 Lecture/Exercise

Examination modalities

Reports of the exercises, oral exam

Course registration

Begin End Deregistration end
01.10.2022 00:00


Study CodeObligationSemesterPrecon.Info
066 453 Biomedical Engineering Mandatory
ALG For all Students Not specified


No lecture notes are available.

Previous knowledge

Basic programming skills in Python or Matlab.