101.597 Computational Neuroscience
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2015S, VU, 2.0h, 3.0EC, to be held in blocked form
TUWEL

Properties

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

Aim of course

The goal of the lecture is to introduce computational methods used in the field of neuroscience to analyse and simulate neuronal processes. 

Subject of course

Computational neuroscience is an interdisceplenary field that focuses on the study of the inormation processing properties of the central nervous system. It employs computer models to capture the essential properties of the analyzed systems (ranging from ion-channels to the behaving animal). 

The course will focus first on the basics of neurophysiology, neurobiology and neuroscience and then elaborate on models of single neurons and networks, neuronal coding, and plasticity and learning. Finally various field-specific software packages (Matlab, Neuron, Brian) are introduced.

Additional information

The course will take place during March. 

Lecturers

  • Danner, Simon Michael

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 16:0006.03.2015Sem.R. DA grün 03 A Vorbesprechung + erste VO Einheit
Fri14:00 - 17:0013.03.2015 - 27.03.2015Sem.R. DA grün 03 A Vorlesung
Fri17:00 - 20:0027.03.2015Sem.R. DA grün 03 A Vorlesung
Computational Neuroscience - Single appointments
DayDateTimeLocationDescription
Fri06.03.201514:00 - 16:00Sem.R. DA grün 03 A Vorbesprechung + erste VO Einheit
Fri13.03.201514:00 - 17:00Sem.R. DA grün 03 A Vorlesung
Fri20.03.201514:00 - 17:00Sem.R. DA grün 03 A Vorlesung
Fri27.03.201514:00 - 17:00Sem.R. DA grün 03 A Vorlesung
Fri27.03.201517:00 - 20:00Sem.R. DA grün 03 A Vorlesung
Course is held blocked

Course registration

Begin End Deregistration end
17.02.2015 09:00 13.03.2015 23:59 20.03.2015 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 931 Computational Intelligence Not specified
066 936 Medical Informatics Mandatory elective

Literature

No lecture notes are available.

Language

English