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Benjamin Blankertz

Showing results (41-50 of 105) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2012
Pre-stimulus sensorimotor rhythms influence brain-computer interface classification performanceCecilia L Maeder, Claudia Sannelli, Stefan Haufe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Optimizing visual-to-auditory delay for multimodal BCI spellerXingwei An, Dong Ming, Douglas Sterling, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Performance optimization of ERP-based BCIs using dynamic stoppingMartijn Schreuder, Johannes Hohne, Matthias Treder, et al.
Journal of Neural Engineering|November 11, 2017
Implicit relevance feedback from electroencephalography and eye tracking in image searchJan-Eike Golenia, Markus A Wenzel, Mihail Bogojeski, et al.
Frontiers in Human Neuroscience|October 30, 2014
ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock songIrene Sturm, Benjamin Blankertz, Cristhian Potes, et al.
Plos One|February 19, 2016
Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer InterfaceLaura Acqualagna, Loic Botrel, Carmen Vidaurre, et al.
Neuroinformatics|May 24, 2015
Wyrm: A Brain-Computer Interface Toolbox in PythonBastian Venthur, Sven Dähne, Johannes Höhne, et al.
Plos One|July 27, 2007
Single trial classification of motor imagination using 6 dry EEG electrodesFlorin Popescu, Siamac Fazli, Yakob Badower, et al.
Journal of Neural Engineering|April 15, 2016
Unsupervised classification of operator workload from brain signalsMatthias Schultze-Kraft, Sven Dähne, Manfred Gugler, et al.
Frontiers in Aging Neuroscience|October 31, 2022
Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signaturesVera Röhr, Benjamin Blankertz, Finn M Radtke, et al.
Pageof 11

Showing results (41-50 of 105) with videos related to

Sort By:
Pageof 11
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 18, 2012
Pre-stimulus sensorimotor rhythms influence brain-computer interface classification performanceCecilia L Maeder, Claudia Sannelli, Stefan Haufe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Optimizing visual-to-auditory delay for multimodal BCI spellerXingwei An, Dong Ming, Douglas Sterling, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Performance optimization of ERP-based BCIs using dynamic stoppingMartijn Schreuder, Johannes Hohne, Matthias Treder, et al.
Journal of Neural Engineering|November 11, 2017
Implicit relevance feedback from electroencephalography and eye tracking in image searchJan-Eike Golenia, Markus A Wenzel, Mihail Bogojeski, et al.
Frontiers in Human Neuroscience|October 30, 2014
ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock songIrene Sturm, Benjamin Blankertz, Cristhian Potes, et al.
Plos One|February 19, 2016
Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer InterfaceLaura Acqualagna, Loic Botrel, Carmen Vidaurre, et al.
Neuroinformatics|May 24, 2015
Wyrm: A Brain-Computer Interface Toolbox in PythonBastian Venthur, Sven Dähne, Johannes Höhne, et al.
Plos One|July 27, 2007
Single trial classification of motor imagination using 6 dry EEG electrodesFlorin Popescu, Siamac Fazli, Yakob Badower, et al.
Journal of Neural Engineering|April 15, 2016
Unsupervised classification of operator workload from brain signalsMatthias Schultze-Kraft, Sven Dähne, Manfred Gugler, et al.
Frontiers in Aging Neuroscience|October 31, 2022
Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signaturesVera Röhr, Benjamin Blankertz, Finn M Radtke, et al.
Pageof 11