Search Results - "Blankertz, Benjamin"

Refine Results
  1. 1

    Single-trial analysis and classification of ERP components — A tutorial by Blankertz, Benjamin, Lemm, Steven, Treder, Matthias, Haufe, Stefan, Müller, Klaus-Robert

    Published in NeuroImage (Orlando, Fla.) (15-05-2011)
    “…Analyzing brain states that correspond to event related potentials (ERPs) on a single trial basis is a hard problem due to the high trial-to-trial variability…”
    Get full text
    Journal Article
  2. 2

    (C)overt attention and visual speller design in an ERP-based brain-computer interface by Treder, Matthias S, Blankertz, Benjamin

    Published in Behavioral and brain functions (28-05-2010)
    “…In a visual oddball paradigm, attention to an event usually modulates the event-related potential (ERP). An ERP-based brain-computer interface (BCI) exploits…”
    Get full text
    Journal Article
  3. 3

    Introduction to machine learning for brain imaging by Lemm, Steven, Blankertz, Benjamin, Dickhaus, Thorsten, Müller, Klaus-Robert

    Published in NeuroImage (Orlando, Fla.) (15-05-2011)
    “…Machine learning and pattern recognition algorithms have in the past years developed to become a working horse in brain imaging and the computational…”
    Get full text
    Journal Article
  4. 4

    A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue by Schreuder, Martijn, Blankertz, Benjamin, Tangermann, Michael

    Published in PloS one (01-04-2010)
    “…Most P300-based brain-computer interface (BCI) approaches use the visual modality for stimulation. For use with patients suffering from amyotrophic lateral…”
    Get full text
    Journal Article
  5. 5

    On the interpretation of weight vectors of linear models in multivariate neuroimaging by Haufe, Stefan, Meinecke, Frank, Görgen, Kai, Dähne, Sven, Haynes, John-Dylan, Blankertz, Benjamin, Bießmann, Felix

    Published in NeuroImage (Orlando, Fla.) (15-02-2014)
    “…The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate analysis methods. Often it is…”
    Get full text
    Journal Article
  6. 6

    A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity by Sannelli, Claudia, Vidaurre, Carmen, Müller, Klaus-Robert, Blankertz, Benjamin

    Published in PloS one (25-01-2019)
    “…Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population, estimated around 25%. To understand this phenomenon in…”
    Get full text
    Journal Article
  7. 7

    Enhanced performance by a hybrid NIRS–EEG brain computer interface by Fazli, Siamac, Mehnert, Jan, Steinbrink, Jens, Curio, Gabriel, Villringer, Arno, Müller, Klaus-Robert, Blankertz, Benjamin

    Published in NeuroImage (Orlando, Fla.) (02-01-2012)
    “…Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for neuroprosthetics. However, reports on applications with electroencephalography…”
    Get full text
    Journal Article
  8. 8

    Cognitive Workload of Tugboat Captains in Realistic Scenarios: Adaptive Spatial Filtering for Transfer Between Conditions by Miklody, Daniel, Blankertz, Benjamin

    Published in Frontiers in human neuroscience (27-01-2022)
    “…Changing and often class-dependent non-stationarities of signals are a big challenge in the transfer of common findings in cognitive workload estimation using…”
    Get full text
    Journal Article
  9. 9

    Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease by Merk, Timon, Peterson, Victoria, Lipski, Witold J, Blankertz, Benjamin, Turner, Robert S, Li, Ningfei, Horn, Andreas, Richardson, Robert Mark, Neumann, Wolf-Julian

    Published in eLife (27-05-2022)
    “…Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson's disease (PD), first…”
    Get full text
    Journal Article
  10. 10

    The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects by Blankertz, Benjamin, Dornhege, Guido, Krauledat, Matthias, Müller, Klaus-Robert, Curio, Gabriel

    Published in NeuroImage (Orlando, Fla.) (15-08-2007)
    “…Brain–Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded…”
    Get full text
    Journal Article
  11. 11

    Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces by Vidaurre, Carmen, Krämer, Nicole, Blankertz, Benjamin, Schlögl, Alois

    Published in Neural networks (01-11-2009)
    “…Several feature types have been used with EEG-based Brain–Computer Interfaces. Among the most popular are logarithmic band power estimates with more or less…”
    Get full text
    Journal Article
  12. 12

    Motor Imagery Under Distraction— An Open Access BCI Dataset by Brandl, Stephanie, Blankertz, Benjamin

    Published in Frontiers in neuroscience (19-10-2020)
    “…Data Acquisition EEG signals were recorded with a Fast'n Easy Cap (EasyCap GmbH) with 63 wet Ag/AgCl electrodes which were placed at symmetrical positions…”
    Get full text
    Journal Article
  13. 13

    Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders by Neumann, Wolf-Julian, Turner, Robert S., Blankertz, Benjamin, Mitchell, Tom, Kühn, Andrea A., Richardson, R. Mark

    Published in Neurotherapeutics (01-01-2019)
    “…Deep brain stimulation (DBS) represents one of the major clinical breakthroughs in the age of translational neuroscience. In 1987, Benabid and colleagues…”
    Get full text
    Journal Article
  14. 14

    Neurophysiological predictor of SMR-based BCI performance by Blankertz, Benjamin, Sannelli, Claudia, Halder, Sebastian, Hammer, Eva M., Kübler, Andrea, Müller, Klaus-Robert, Curio, Gabriel, Dickhaus, Thorsten

    Published in NeuroImage (Orlando, Fla.) (15-07-2010)
    “…Brain–computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After…”
    Get full text
    Journal Article
  15. 15

    The point of no return in vetoing self-initiated movements by Schultze-Kraft, Matthias, Birman, Daniel, Rusconi, Marco, Allefeld, Carsten, Görgen, Kai, Dähne, Sven, Blankertz, Benjamin, Haynes, John-Dylan

    “…In humans, spontaneous movements are often preceded by early brain signals. One such signal is the readiness potential (RP) that gradually arises within the…”
    Get full text
    Journal Article
  16. 16

    Machine-learning-based coadaptive calibration for brain-computer interfaces by Vidaurre, Carmen, Sannelli, Claudia, Müller, Klaus-Robert, Blankertz, Benjamin

    Published in Neural computation (01-03-2011)
    “…Brain-computer interfaces (BCIs) allow users to control a computer application by brain activity as acquired (e.g., by EEG). In our classic machine learning…”
    Get more information
    Journal Article
  17. 17

    Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli by Sturm, Irene, Dähne, Sven, Blankertz, Benjamin, Curio, Gabriel

    Published in PloS one (28-10-2015)
    “…Note onsets in music are acoustic landmarks providing auditory cues that underlie the perception of more complex phenomena such as beat, rhythm, and meter. For…”
    Get full text
    Journal Article
  18. 18

    Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface by Acqualagna, Laura, Botrel, Loic, Vidaurre, Carmen, Kübler, Andrea, Blankertz, Benjamin

    Published in PloS one (18-02-2016)
    “…In the last years Brain Computer Interface (BCI) technology has benefited from the development of sophisticated machine leaning methods that let the user…”
    Get full text
    Journal Article
  19. 19

    Towards zero training for brain-computer interfacing by Krauledat, Matthias, Tangermann, Michael, Blankertz, Benjamin, Müller, Klaus-Robert

    Published in PloS one (13-08-2008)
    “…Electroencephalogram (EEG) signals are highly subject-specific and vary considerably even between recording sessions of the same user within the same…”
    Get full text
    Journal Article
  20. 20

    The Berlin Brain-Computer Interface: Progress Beyond Communication and Control by Blankertz, Benjamin, Acqualagna, Laura, Dähne, Sven, Haufe, Stefan, Schultze-Kraft, Matthias, Sturm, Irene, Ušćumlic, Marija, Wenzel, Markus A, Curio, Gabriel, Müller, Klaus-Robert

    Published in Frontiers in neuroscience (21-11-2016)
    “…The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought…”
    Get full text
    Journal Article