Seminar: Machine Learning and Artificial Neural Networks in Biomedical Applications
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.
Exemplary topics from the last years (current topics will be different):
Please pre-register for this course. Send a mail with your name, student id ("Matrikelnummer"), branch of study (CS / bioinformatics / ...) and how far you've progressed in your studies to firstname.lastname@example.org.
The topics will be assigned at the kickoff-meeting at april 23th, 10:00 (c.t.) in room C118 (Sand 14).
Slides from the kick-off meeting can be found here.
The written report should be 15-20 pages long and the Latex-Tempalte (Link to Latex-Template) must be used.
The presentation should be 20 minutes plus 10 minutes for discussion. Slides can be made with Powerpoint or Latex.
Additional literature to the topic should be researched independently. All sources used should be properly cited.