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Periodic BCI-algebras and Subgroups of Adjoint Monoids of BCI-algebras
Semigroup Forum, 1998Let \((X,\cdot,0)\) be a BCI-algebra. The set \(M(X)\) of all finite compositions of right shifts \(\rho_{a}(x)=xa\) is a commutative monoid with the unit \(\rho_{0}\). It is proved that there is a bijection from p-semisimple closed ideals of a BCI-algebra \(X\) to subgroups of \(M(X)\).
Huang, Wenping, Sun, Dajun
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2017
Proceedings Of The 7Th Graz Brain-Computer Interface Conference 2017, From Vision To Reality, September 18-22, 2017 Graz University Of Technology ...
Mariska J. Vansteensel +3 more
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Proceedings Of The 7Th Graz Brain-Computer Interface Conference 2017, From Vision To Reality, September 18-22, 2017 Graz University Of Technology ...
Mariska J. Vansteensel +3 more
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Generalized Features for Electrocorticographic BCIs
IEEE Transactions on Biomedical Engineering, 2008This paper studies classifiability of electrocorticographic signals (ECoG) for use in a human brain-computer interface (BCI). The results show that certain spectral features can be reliably used across several subjects to accurately classify different types of movements. Sparse and nonsparse versions of the support vector machine and regularized linear
Pradeep Shenoy +3 more
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The 3rd International Winter Conference on Brain-Computer Interface, 2015
A main motivation for multimodal imaging has been the possibility to enhance medical diagnosis[1]. Beyond this original medical motivation the fusion of multiple modalities has created successful interesting research opportunities that have furthered our understanding of the brain and cognition[15].
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A main motivation for multimodal imaging has been the possibility to enhance medical diagnosis[1]. Beyond this original medical motivation the fusion of multiple modalities has created successful interesting research opportunities that have furthered our understanding of the brain and cognition[15].
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2012
In this chapter, we provide an overview of publicly available software platforms for brain–computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedback and stimulus presentation. We describe the intended target user group (which includes researchers, programmers, and end users), the most ...
C. Brunner +15 more
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In this chapter, we provide an overview of publicly available software platforms for brain–computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedback and stimulus presentation. We describe the intended target user group (which includes researchers, programmers, and end users), the most ...
C. Brunner +15 more
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ECoG-Based BCI for BCI-MEG Research
2016A brain-computer interface (BCI) allows the user to control a device or software with brain activity. Many BCIs rely on dynamics of brain oscillations related to semantic and motor imaginary tasks in the electroencephalogram (EEG) and magnetoencephalography (MEG).
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Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery
Cognitive Neurodynamics, 2022Lei Su, Anmin Gong, Yunfa Fu
exaly
Influence of iTBS on the Acute Neuroplastic Change After BCI Training
Frontiers in Cellular Neuroscience, 2021Qian Ding, Tuo Lin, Manfeng Wu
exaly
Neurophysiological predictor of SMR-based BCI performance
NeuroImage, 2010Benjamin Blankertz +2 more
exaly