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Browsing 01.NU Schools by Subject "BCI"
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Kang, Taeho; Chen, Yiyu; Fazli, Siamac; Wallraven, Christian
(Institute of Electrical and Electronics Engineers, 2020-09-10)
Previous Electroencephalography (EEG) and neuroimaging studies have found differences between brain signals for subsequently remembered and forgotten items during learning of items - it has even been shown that single trial ...
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Lee, Min-Ho; Kwon, O-Yeon; Kim, Yong-Jeong; Kim, Hong-Kyung; Lee, Young-Eun; Williamson, John; Fazli, Siamac; Lee, Seong-Whan
(Oxford University Press, 2019-05)
Background
Electroencephalography (EEG)-based brain-computer interface (BCI) systems are mainly divided into three major paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked ...
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Mun, Vladislav
(Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
A Brain-Computer Interface (BCI) is a continuously evolving technological framework
that has been steadily gaining popularity over the past few decades. By recording the
brain activity and structure through various means ...
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Mussabayeva, Ayana
(Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
P300 Speller is a brain-computer interface (BCI) spelling system, which is used to enable
a human to communicate with the outer world by processing electroencephalography (EEG) sig-
nals. Such speller systems are usually ...
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Saparbayeva, Madina
(Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
Brain-Computer Interface (BCI) helps people who have a severe disease to interact
with external devices. Event-Related Potential (ERP) based BCI systems send
stimuli, then detect brain signals responding to stimuli. ...
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Alimanov, Kanat
(Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
Brain-Computer Interfaces (BCI) are gaining popularity with each day. A lot of
research was carried out to improve both accuracy and usability of individual BCI
paradigms, most popular in current literature being Motor ...
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Lee, Min-Ho; Williamson, John; Kee, Young-Jin; Fazli, Siamac; Lee, Seong-Whan
(Public Library of Science, 2019-12)
Event-related potentials (ERPs) represent neuronal activity in the brain elicited by external visual or auditory stimulation and are widely used in brain-computer interface (BCI) systems. The ERP responses are elicited a ...