Universität Wien

052317 VU Neuroinformatics: Machine Learning for Neuronal Data Analysis (2022W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 04.10. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 06.10. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 11.10. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 13.10. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 18.10. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 20.10. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 25.10. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 27.10. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 03.11. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 08.11. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 10.11. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 15.11. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 17.11. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 22.11. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 24.11. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 29.11. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 01.12. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 06.12. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Tuesday 13.12. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 15.12. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 10.01. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 12.01. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 17.01. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 19.01. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 24.01. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01
  • Thursday 26.01. 16:45 - 18:15 Seminarraum 18 Kolingasse 14-16, OG02
  • Tuesday 31.01. 16:45 - 18:15 Seminarraum 10, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

What brain regions are involved in the processing of certain information? How can we decode a person’s intentions from neuronal data, and use it to build a Brain-Computer Interface? And how does high level cognition arise from the joint activity of individual neurons? These are only some of the questions, that the methods developed in the field of neuroinformatics can help answer. In this course you will get to know a variety of recording modalities of neuronal data (e.g. fMRI, EEG, recordings of single neurons) and methods to analyse the obtained signals. The course will be very practice oriented, introducing you to traditional and modern methods of data analysis and machine learning in neuroinformatics in a combination of lectures and programming tutorials. Prior knowledge of signal processing and/or machine learning methods will be helpful, but not required to follow the course.

Assessment and permitted materials

20% pen and paper assignment
20% programming assignment
20% weekly quizzes
40% group project
. 10% project proposal
. 10% code
. 20% final presentation

Minimum requirements and assessment criteria

Grades will be assigned according to the following scheme:

1. At least 87.5%
2. At least 75.0%
3. At least 62.5%
4. At least 50.0%

Examination topics

Material presented and discussed during the lectures and programming tutorials, as well as the topics covered in assignments.

Reading list

Association in the course directory

Last modified: Mo 17.10.2022 11:49