Seminar / Proseminar: Doing by Thinking 2013
Organizers
- Michael Tangermann (MT)
- Wolfram Burgard (WB)
- Tonio Ball (TB)
Proseminar: Introduction to the Functional Decoding of Brain Signals
Student | Topic | Supervisor |
---|---|---|
Oliver Vogt - Lukas Klein | A first glance on Brain-Computer Interfaces (BCI) / Brain-Machine Interfaces (BMI) | MT |
Moritz Freidank - Anja Blickensdörfer | Neuroanatomical background of BCI/BMI. | TB |
Benedikt Solf | Signals for BCIs: Where do they come from, how do they look like? Part A: non-invasive signals (EEG/MEG/fMRI/fNIRS) | TB |
Eva Brombacher - Hendrik Intveen | Signals for BCIs: Where do they come from, how do they look like? Part B: (semi-) invasive signals (ECoG, SUA, LFP) | TB |
Rick Gelhausen - Samuel Steinegger | Signal processing and machine learning algorithms to decode evoked potentials of the EEG/ECoG. | MT |
Jan Reisacher - Björn Hagemeister | How to learn BMI control. | TB |
Andre Biedenkapp - Julian Kunzelmann | BCI-controlled robots: principles and applications | WB |
Seminar: Invasive and Non-Invasive Methods to Decode Brain Signals in Realtime
Student | Topic | Supervisor |
---|---|---|
Gregor Enzian | Data-driven spatial filtering to improve signal-to-noise ratio in evoked responses. | MT |
Ingo Killmann | Listen to write: auditory BCI for communication. | MT |
Cem Uran - Tiago M. Rocha Félix | Neurotechnology to restore memory and other cognitive functions. | TB |
Maximilian Bergmann | Unsupervised Classification of ERP paradigms | MT |
Robin Tibor Schirrmeister | Controlling robotic arms for self-feeding with the help of BMIs | TB |
Filed under:
wt1314