Journal ArticleDOI
Brain-computer interface and semantic classical conditioning of communication in paralysis.
Daniele De Massari,Tamara Matuz,Adrian Furdea,Carolin A. Ruf,Sebastian Halder,Sebastian Halder,Niels Birbaumer +6 more
TLDR
A classical semantic conditioning procedure to allow basic yes-no communication in the completely locked-in state as an alternative to instrumental-operant learning of brain responses, which is the common approach in brain-computer interface research is proposed.About:
This article is published in Biological Psychology.The article was published on 2013-02-01. It has received 25 citations till now. The article focuses on the topics: Classical conditioning & Brain–computer interface.read more
Citations
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Journal ArticleDOI
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
TL;DR: Brain-machine interfaces research has been at the forefront of many neurophysiological discoveries, including the demonstration that, through continuous use, artificial tools can be assimilated by the primate brain's body schema.
Journal ArticleDOI
Prediction of brain-computer interface aptitude from individual brain structure
Sebastian Halder,Bálint Várkuti,Martin Bogdan,Andrea Kübler,Wolfgang Rosenstiel,Ranganatha Sitaram,Niels Birbaumer +6 more
TL;DR: Structural integrity and connectivity of involved white matter connections may serve as a predictor of individual BCI-performance and confirms that structural brain traits contribute to individual performance in BCI use.
Journal ArticleDOI
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
TL;DR: The physical principles of BCIs, and underlying novel approaches for registration, analysis, and control of brain activity are reviewed, and the new emerging technological trend in the BCI development which consists in using neurointerfaces to improve the interaction between people, so-called brain-to-brain interfaces (BBIs).
Journal ArticleDOI
Brain communication in the locked-in state
Daniele De Massari,Carolin A. Ruf,Adrian Furdea,Tamara Matuz,Linda van der Heiden,Sebastian Halder,Sebastian Halder,Stefano Silvoni,Niels Birbaumer +8 more
TL;DR: Rapid drop of vigilance was detected suggesting attentional variations or variations of circadian period as important factors in brain-computer interface communication with locked- in state and completely locked-in state.
Journal ArticleDOI
Brain-computer interfaces in amyotrophic lateral sclerosis: A metanalysis.
TL;DR: The present metanalysis was performed to test the evidence of BCI effectiveness in ALS, and to investigate whether the promising aims emerged from the first studies have been reached, and whether new well-powered studies should be conducted to confirmBCI effectiveness for ALS patients.
References
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LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
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A Tutorial on Support Vector Machines for Pattern Recognition
TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
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A new method for off-line removal of ocular artifact.
TL;DR: EMCP permits retention of all trials in an ERP experiment, irrespective of ocular artifact, and has the advantage that separate correction factors are computed for blinks and movements and that these factors are based on data from the experimental session itself rather than from a separate calibration session.
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Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Leigh R. Hochberg,Leigh R. Hochberg,Mijail D. Serruya,Gerhard Friehs,Gerhard Friehs,Jon A. Mukand,Jon A. Mukand,Maryam Saleh,Abraham H. Caplan,Almut Branner,David Chen,Richard D. Penn,John P. Donoghue +12 more
TL;DR: Initial results for a tetraplegic human using a pilot NMP suggest that NMPs based upon intracortical neuronal ensemble spiking activity could provide a valuable new neurotechnology to restore independence for humans with paralysis.
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A review of classification algorithms for EEG-based brain–computer interfaces
TL;DR: This paper compares classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG) in terms of performance and provides guidelines to choose the suitable classification algorithm(s) for a specific BCI.