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fMRI Brain-Computer Interfaces
IEEE Signal Processing Magazine, 2008Brain-computer interfaces based on fMRI enable real-time feedback of circumscribed brain regions to learn volitional regulation of those regions. This is an emerging field of intense research, with potential for multiple applications in neuroscientific research in brain plasticity and reorganization, movement restoration due to stroke, clinical ...
Sitaram, R. +5 more
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Passive Brain–Computer Interfaces
2014Abstract Passive Brain-Computer interfaces (passive BCI), also named implicitBCI, provide information from user mental activity to a computerized applicationwithout the need for the user to control his brain activity. Passive BCI seem particularlyrelevant in the context of music creation where they can provide novel informationto adapt the music ...
George, Laurent, Lécuyer, Anatole
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Passive Brain–Computer Interfaces
2018Passive brain–computer interfaces (passive BCI; pBCI) have been introduced and formally defined almost a decade ago and have gained considerable attention since then. In this chapter, we clarify some points of confusion and provide a perspective on the past, present, and future of the field of passive BCI.
Krol, Laurens R. +2 more
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2013
Brain-computer interfaces (BCIs) are systems that give their users communication and control capabilities that do not depend on muscles. The user's intentions are determined from activity recorded by electrodes on the scalp, on the cortical surface, or within the brain.
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Brain-computer interfaces (BCIs) are systems that give their users communication and control capabilities that do not depend on muscles. The user's intentions are determined from activity recorded by electrodes on the scalp, on the cortical surface, or within the brain.
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Proceedings of the 13th International Carpathian Control Conference (ICCC), 2012
In this paper an algorithm providing an interface communication with a computer and the brain was used according to the rhythms of alpha, beta and mu for a number of activities such as relaxation, logical thinking and imagination of movement. For each activity the waveforms were recorded.
Agata Nawrocka, Andrzej Kot
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In this paper an algorithm providing an interface communication with a computer and the brain was used according to the rhythms of alpha, beta and mu for a number of activities such as relaxation, logical thinking and imagination of movement. For each activity the waveforms were recorded.
Agata Nawrocka, Andrzej Kot
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Flexible brain–computer interfaces
Nature Electronics, 2023Xin-Hui Tang +4 more
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Nano letters (Print), 2019
Brain-computer interfaces (BCIs) enable direct and near-instant communication between the brain and electronic devices. One of the biggest remaining challenges is to develop an effective noninvasive BCI that allows the recording electrodes to avoid hair ...
Sen Lin +15 more
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Brain-computer interfaces (BCIs) enable direct and near-instant communication between the brain and electronic devices. One of the biggest remaining challenges is to develop an effective noninvasive BCI that allows the recording electrodes to avoid hair ...
Sen Lin +15 more
semanticscholar +1 more source
Enhance decoding of pre-movement EEG patterns for brain–computer interfaces
Journal of Neural Engineering, 2019Objective. In recent years, brain–computer interface (BCI) systems based on electroencephalography (EEG) have developed rapidly. However, the decoding of voluntary finger pre-movements from EEG is still a challenge for BCIs.
Kun Wang +5 more
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Brain–computer interfaces for communication and control
Clinical Neurophysiology, 2002J. Wolpaw +4 more
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