2 papers
eess.SP2018
Deep Learning for micro-Electrocorticographic (μECoG) Data
Xi Wang, C. Alexis Gkogkidis, Robin T. Schirrmeister +6
Machine learning can extract information from neural recordings, e.g., surface EEG, ECoG and μECoG, and therefore plays an important role in many research and clinical applications…
eess.SP2018
A large-scale evaluation framework for EEG deep learning architectures
Felix A. Heilmeyer, Robin T. Schirrmeister, Lukas D. J. Fiederer +3
EEG is the most common signal source for noninvasive BCI applications. For such applications, the EEG signal needs to be decoded and translated into appropriate actions. A recently…