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Martin Spüler

Showing results (1-10 of 24) with videos related to

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Plos One|February 23, 2017
A high-speed brain-computer interface (BCI) using dry EEG electrodesMartin Spüler
Plos Biology|April 9, 2019
Questioning the evidence for BCI-based communication in the complete locked-in stateMartin Spüler
Frontiers in Human Neuroscience|April 11, 2015
Error-related potentials during continuous feedback: using EEG to detect errors of different type and severityMartin Spüler, Christian Niethammer
Plos One|October 23, 2018
Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed Brain-Computer InterfaceSebastian Nagel, Martin Spüler
Scientific Reports|June 6, 2019
Asynchronous non-invasive high-speed BCI speller with robust non-control state detectionSebastian Nagel, Martin Spüler
Plos One|September 7, 2019
World's fastest brain-computer interface: Combining EEG2Code with deep learningSebastian Nagel, Martin Spüler
Plos One|December 14, 2012
Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learningMartin Spüler, Wolfgang Rosenstiel, Martin Bogdan
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 25, 2014
Spatial filtering based on canonical correlation analysis for classification of evoked or event-related potentials in EEG dataMartin Spüler, Armin Walter, Wolfgang Rosenstiel, et al.
Journal of Neural Engineering|June 15, 2016
Asynchronous P300 classification in a reactive brain-computer interface during an outlier detection taskTanja Krumpe, Carina Walter, Wolfgang Rosenstiel, et al.
Journal of Neuroengineering and Rehabilitation|November 22, 2018
On the design of EEG-based movement decoders for completely paralyzed stroke patientsMartin Spüler, Eduardo López-Larraz, Ander Ramos-Murguialday
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Plos One|February 23, 2017
A high-speed brain-computer interface (BCI) using dry EEG electrodesMartin Spüler
Plos Biology|April 9, 2019
Questioning the evidence for BCI-based communication in the complete locked-in stateMartin Spüler
Frontiers in Human Neuroscience|April 11, 2015
Error-related potentials during continuous feedback: using EEG to detect errors of different type and severityMartin Spüler, Christian Niethammer
Plos One|October 23, 2018
Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed Brain-Computer InterfaceSebastian Nagel, Martin Spüler
Scientific Reports|June 6, 2019
Asynchronous non-invasive high-speed BCI speller with robust non-control state detectionSebastian Nagel, Martin Spüler
Plos One|September 7, 2019
World's fastest brain-computer interface: Combining EEG2Code with deep learningSebastian Nagel, Martin Spüler
Plos One|December 14, 2012
Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learningMartin Spüler, Wolfgang Rosenstiel, Martin Bogdan
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 25, 2014
Spatial filtering based on canonical correlation analysis for classification of evoked or event-related potentials in EEG dataMartin Spüler, Armin Walter, Wolfgang Rosenstiel, et al.
Journal of Neural Engineering|June 15, 2016
Asynchronous P300 classification in a reactive brain-computer interface during an outlier detection taskTanja Krumpe, Carina Walter, Wolfgang Rosenstiel, et al.
Journal of Neuroengineering and Rehabilitation|November 22, 2018
On the design of EEG-based movement decoders for completely paralyzed stroke patientsMartin Spüler, Eduardo López-Larraz, Ander Ramos-Murguialday
Pageof 3