Search Results - "Blankertz, Benjamin"
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Single-trial analysis and classification of ERP components — A tutorial
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…”
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(C)overt attention and visual speller design in an ERP-based brain-computer interface
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…”
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Introduction to machine learning for brain imaging
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…”
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A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue
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…”
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On the interpretation of weight vectors of linear models in multivariate neuroimaging
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…”
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A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
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…”
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Enhanced performance by a hybrid NIRS–EEG brain computer interface
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…”
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Cognitive Workload of Tugboat Captains in Realistic Scenarios: Adaptive Spatial Filtering for Transfer Between Conditions
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…”
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Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease
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…”
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The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
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…”
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Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces
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…”
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Motor Imagery Under Distraction— An Open Access BCI Dataset
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…”
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Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders
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…”
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Neurophysiological predictor of SMR-based BCI performance
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…”
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The point of no return in vetoing self-initiated movements
Published in Proceedings of the National Academy of Sciences - PNAS (26-01-2016)“…In humans, spontaneous movements are often preceded by early brain signals. One such signal is the readiness potential (RP) that gradually arises within the…”
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Machine-learning-based coadaptive calibration for brain-computer interfaces
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…”
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Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli
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…”
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Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface
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…”
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Towards zero training for brain-computer interfacing
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…”
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The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
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…”
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