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07/04/2018
The role of robot design in decoding error-related information from EEG signals of a human observer
For utilization of robotic assistive devices in everyday life, means for...
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06/20/2018
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
When it comes to the classification of brain signals in real-life applic...
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06/18/2018
A large-scale evaluation framework for EEG deep learning architectures
EEG is the most common signal source for noninvasive BCI applications. F...
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06/18/2018
A framework for large-scale evaluation of deep learning for EEG
EEG is the most common signal source for noninvasive BCI applications. F...
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05/04/2018
Intracranial Error Detection via Deep Learning
Deep learning techniques have revolutionized the field of machine learni...
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11/16/2017
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks
The importance of robotic assistive devices grows in our work and everyd...
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08/04/2017