Results 21 to 30 of about 4,586,794 (296)

The strathclyde brain computer interface [PDF]

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to control their environment, communicate, and control mobility aids. However, the key to BCI usability rests in being able to extract relevant time varying signals that can be classified into usable commands in real time. This paper reports
Valsan, G., Grychtol, Bartłomiej, Lakany, H., Conway, B.A.   +3 more
openaire   +3 more sources

The Emergence of Functional Ultrasound for Noninvasive Brain–Computer Interface

Research, 2023
A noninvasive brain–computer interface is a central task in the comprehensive analysis and understanding of the brain and is an important challenge in international brain-science research.
Hairong Zheng, Lili Niu, Weibao Qiu, Dong Liang, Xiaojing Long, Guanglin Li, Zhiyuan Liu, Long Meng   +7 more
doaj   +1 more source

Neural Decoding for Intracortical Brain–Computer Interfaces

Cyborg and Bionic Systems, 2023
Brain–computer interfaces have revolutionized the field of neuroscience by providing a solution for paralyzed patients to control external devices and improve the quality of daily life.
Yuanrui Dong, Shirong Wang, Qiang Huang, Rune W. Berg, Guanghui Li, Jiping He   +5 more
doaj   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R, Gan, J Q, Asensio-Cubero, J, Gan, JQ, Palaniappan, Ramaswamy   +4 more
core   +1 more source

Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface

Scientific Reports, 2017
Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions.
Davide Valeriani, Caterina Cinel, Riccardo Poli   +2 more
doaj   +1 more source

Goal-Directed Processing of Naturalistic Stimuli Modulates Large-Scale Functional Connectivity

Frontiers in Neuroscience, 2019
Humans selectively process external information according to their internal goals. Previous studies have found that cortical activity and interactions between specific cortical areas such as frontal-parietal regions are modulated by behavioral goals ...
Zhenfu Wen, Zhenfu Wen, Tianyou Yu, Tianyou Yu, Xinbin Yang, Yuanqing Li, Yuanqing Li   +6 more
doaj   +1 more source

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]

, 2010
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
R. Rupp, Gernot Mueller-Putz, Cincott, F., Rupp, R., Leeb, R., José del R. Millán, Müller-Putz, Gernot, Mattia, Donatella, Febo Cincotti, Andrea Kubler, D. Mattia, Muller-Putz, G., R. Murray-smith, G. R. Muller Putz, Neuper, C., Klaus R Mueller, del R. Millan, J., R. Murray Smith, M. Tangermann, Millán, José del R., CINCOTTI, FEBO, Giugliemma, Claudio, C. Vidaurre, Robert Leeb, D. Mattia, et al., J. D. R. Millán, Müller, K. R., Giugliemma, C., C. Giugliemma, A. Kubler, Donatella Mattia, F. Cincotti, Neuper, Christa, Müller-Putz, G. R., Kubler, A., Carmen Vidaurre, Mattia, D., C. Neuper, Millán, J. D.R., Tangermann, M., Michael Tangermann, Roderick Murray-Smith, Leeb, Robert, R. Leeb, K. R. Muller, Cincotti, F., Vidaurre, Carmen, Vidaurre, C., G. R. Müller-putz, Muller, K.R., Christa Neuper, Kübler, Andrea, Murray-Smith, R., Rüdiger Rupp, Müller, Klaus Robert, Rupp, Rüdiger, Tangermann, Michael, Murray-Smith, Rod, Claudio Giugliemma   +58 more
core   +2 more sources

Towards hippocampal navigation for brain–computer interfaces

Scientific Reports, 2023
Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair movements ...
Jeremy Saal, Maarten Christiaan Ottenhoff, Pieter L. Kubben, Albert J. Colon, Sophocles Goulis, Johannes P. van Dijk, Dean J. Krusienski, Christian Herff   +7 more
doaj   +1 more source

Neural–Computer Interfaces: Theory, Practice, Perspectives

Applied Sciences
This review outlines the technological principles of neural–computer interface (NCI) construction, classifying them according to: (1) the degree of intervention (invasive, semi-invasive, and non-invasive); (2) the direction of signal communication ...
Ignat Dubynin, Maxim Zemlyanskov, Irina Shalayeva, Oleg Gorskii, Vladimir Grinevich, Pavel Musienko   +5 more
doaj   +1 more source

Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects

Frontiers in Human Neuroscience, 2019
Recent advances in neuroscience have paved the way to innovative applications that cognitively augment and enhance humans in a variety of contexts. This paper aims at providing a snapshot of the current state of the art and a motivated forecast of the ...
Caterina Cinel, Davide Valeriani, Davide Valeriani, Riccardo Poli   +3 more
doaj   +1 more source