Seminar: Machine Learning and Artificial Neural Networks in Biomedical Applications

Lecturer Martin Spüler
Alumni
Martin Spüler

Instructors Katrin Sippel
PhD student
Lab: Neural Interfaces and Brain Signal Decoding
Katrin Sippel

Sebastian Nagel
Group leader / Postdoc
Lab: Neural Interfaces and Brain Signal Decoding
Sebastian Nagel

Christian Niethammer
PhD student
Lab: Neural Interfaces and Brain Signal Decoding
Christian Niethammer

Alexander Blöck
PhD student
Lab: Neural Interfaces and Brain Signal Decoding
Alexander Blöck

Tutorial 23.10.2018 10:00 c.t. (Raum: A302)
Amount 2 SWS / 3 LP
Type of course Seminar
Entry in course catalog Campus

Description

The Seminar “Machine Learning and Artificial Neural Networks in Biomedical Applications” covers current topics of signal processing on neural signals (e.g. fMRI, EEG or MEG) for their use in biomedical applications (e.g. neuroprosthetics or brain-computer interfaces, BCIs) and related topics; as well as methods and algorithms applied in those fields.

Comment

We’d welcome if you pre-register for this course. Please send a mail with your name, student id (“Matrikelnummer”), branch of study (CS / bioinformatics / …) and how far you’ve progressed in your studies to spueler@informatik.uni-tuebingen.de.

The topics will be assigned at the kickoff-meeting at october 23th, 10:00 (c.t.) in room A302.

Learning Objective

  • Transfer of factual knowledge.
  • Search scientific literature on specific topics.
  • Familiarize yourself with the terminology of a subject area.
  • Prepare a well structured and informative presentation.
  • Present this lecture safely and in a way that is interesting for the audience.
  • Keep to a tightly limited time frame for a presentation.
  • Give and receive constructive criticism on a presentation style.
  • Write a scientific paper
  • Important for the seminar: understanding the content and passing it on to the audience.

Presentation duration and topic structure.

Ideally, the presentation should last exactly 20 minutes, no longer. This speaking time is followed by a short discussion on both the content and the style of the presentation, so that a total of 30 minutes is available for each contribution. In order for a lecture to be informative and interesting for the rest of the audience, it has to have a certain form. Each participant should therefore contact his/her supervisor at an early stage.

There will be regular meetings with the supervisor to discuss current activities.

Milestones

  • outlines of presentation and written report: 30th November
  • written report: 25th Janury
  • presentations: 1th, 8th February 10-13h (C118)

Additional literature on your topic should be researched and prepared independently, entry points are suggested by the supervisors.

The elaboration should consist of 15-20 pages, be written in latex, and be presented in the format of a scientific publication (link to latex template), where all sources are referenced. More information about the elaboration can be found here.