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Moritz Grosse-Wentrup

Showing results (11-20 of 33) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Beta Power May Meditate the Effect of Gamma-TACS on Motor PerformanceAtalanti A Mastakouri, Bernhard Scholkopf, Moritz Grosse-Wentrup
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Identification of the Default Mode Network with electroencephalographyTatiana Fomina, Matthias Hohmann, Bernhard Scholkopf, et al.
Plos Computational Biology|December 16, 2024
Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognitionMoritz Grosse-Wentrup, Akshey Kumar, Anja Meunier, et al.
IEEE Transactions on Bio-Medical Engineering|May 9, 2009
Beamforming in noninvasive brain-computer interfacesMoritz Grosse-Wentrup, Christian Liefhold, Klaus Gramann, et al.
Neuroimage|November 1, 2015
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approachMoritz Grosse-Wentrup, Dominik Janzing, Markus Siegel, et al.
Computational Intelligence and Neuroscience|October 19, 2011
Multisubject learning for common spatial patterns in motor-imagery BCIDieter Devlaminck, Bart Wyns, Moritz Grosse-Wentrup, et al.
Journal of Neural Engineering|September 20, 2017
Task-induced frequency modulation features for brain-computer interfacingVinay Jayaram, Matthias Hohmann, Jennifer Just, et al.
Journal of Neural Engineering|April 21, 2018
Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis-implications for brain-computer interfacingPhilipp Kellmeyer, Moritz Grosse-Wentrup, Andreas Schulze-Bonhage, et al.
Journal of Neuroengineering and Rehabilitation|March 6, 2014
Predicting motor learning performance from Electroencephalographic dataTimm Meyer, Jan Peters, Thorsten O Zander, et al.
Journal of Neural Engineering|April 4, 2017
Electroencephalographic identifiers of motor adaptation learningOzan Özdenizci, Mustafa Yalçın, Ahmetcan Erdoğan, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Beta Power May Meditate the Effect of Gamma-TACS on Motor PerformanceAtalanti A Mastakouri, Bernhard Scholkopf, Moritz Grosse-Wentrup
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Identification of the Default Mode Network with electroencephalographyTatiana Fomina, Matthias Hohmann, Bernhard Scholkopf, et al.
Plos Computational Biology|December 16, 2024
Neuro-cognitive multilevel causal modeling: A framework that bridges the explanatory gap between neuronal activity and cognitionMoritz Grosse-Wentrup, Akshey Kumar, Anja Meunier, et al.
IEEE Transactions on Bio-Medical Engineering|May 9, 2009
Beamforming in noninvasive brain-computer interfacesMoritz Grosse-Wentrup, Christian Liefhold, Klaus Gramann, et al.
Neuroimage|November 1, 2015
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approachMoritz Grosse-Wentrup, Dominik Janzing, Markus Siegel, et al.
Computational Intelligence and Neuroscience|October 19, 2011
Multisubject learning for common spatial patterns in motor-imagery BCIDieter Devlaminck, Bart Wyns, Moritz Grosse-Wentrup, et al.
Journal of Neural Engineering|September 20, 2017
Task-induced frequency modulation features for brain-computer interfacingVinay Jayaram, Matthias Hohmann, Jennifer Just, et al.
Journal of Neural Engineering|April 21, 2018
Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis-implications for brain-computer interfacingPhilipp Kellmeyer, Moritz Grosse-Wentrup, Andreas Schulze-Bonhage, et al.
Journal of Neuroengineering and Rehabilitation|March 6, 2014
Predicting motor learning performance from Electroencephalographic dataTimm Meyer, Jan Peters, Thorsten O Zander, et al.
Journal of Neural Engineering|April 4, 2017
Electroencephalographic identifiers of motor adaptation learningOzan Özdenizci, Mustafa Yalçın, Ahmetcan Erdoğan, et al.
Pageof 4