Results 11 to 20 of about 378,811 (361)

A BCI-Based Study on the Relationship Between the SSVEP and Retinal Eccentricity in Overt and Covert Attention

Frontiers in Neuroscience, 2021
Covert attention aids us in monitoring the environment and optimizing performance in visual tasks. Past behavioral studies have shown that covert attention can enhance spatial resolution.
Yajun Zhou, Yajun Zhou, Li Hu, Li Hu, Tianyou Yu, Tianyou Yu, Yuanqing Li, Yuanqing Li   +7 more
doaj   +1 more source

Editorial: Methods in brain-computer interfaces: 2023 [PDF]

Frontiers in Human Neuroscience
Davide Borra, Ming Ma, Ester Martinez-Martin, Likun Xia   +3 more
doaj   +2 more sources

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces [PDF]

Journal of Neural Engineering, 2016
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer, using neural activity as the control signal. This neural signal is generally chosen from a variety of well-studied electroencephalogram (EEG) signals. For a given BCI
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, S. Gordon, C. Hung, Brent Lance   +5 more
semanticscholar   +1 more source

Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm

IEEE Access, 2021
Online coadaptive training has been successfully employed to enable people to control motor imagery (MI)-based brain-computer interfaces (BCIs), allowing to completely skip the lengthy and demotivating open-loop calibration stage traditionally applied ...
Jose Diogo Cunha, Serafeim Perdikis, Sebastian Halder, Reinhold Scherer   +3 more
doaj   +1 more source

Visual Tracking Brain-Computer Interface

iScience, 2023
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods.
Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen, Yijun Wang, Xiaorong Gao   +5 more
openaire   +4 more sources

Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces

Nature Communications, 2023
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for ...
Zhouheng Wang, Nanlin Shi, Yingchao Zhang, Ning Zheng, Haicheng Li, Yang Jiao, Jiahui Cheng, Yutong Wang, Xiaoqing Zhang, Ying Chen, Yihao Chen, Heling Wang, Tao Xie, Yijun Wang, Yinji Ma, Xiaorong Gao, Xue Feng   +16 more
semanticscholar   +1 more source

Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making

Scientific Reports, 2021
In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this
Saugat Bhattacharyya, Davide Valeriani, Caterina Cinel, Luca Citi, Riccardo Poli   +4 more
doaj   +1 more source

The brain–computer interface cycle [PDF]

Journal of Neural Engineering, 2009
Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the BCI cycle, i.e., the loop from the measurement of brain activity, classification of data, feedback to the ...
Gerven, M.A.J. van, Farquhar, J.D.R., Schaefer, R.S., Vlek, R.J., Geuze, J., Nijholt, A., Ramsey, N.F., Haselager, W.F.G., Vuurpijl, L.G., Gielen, C.C.A.M., Desain, P.W.M.   +10 more
openaire   +6 more sources

Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations

Journal of Child Neurology, 2023
Invasive brain-computer interfaces hold promise to alleviate disabilities in individuals with neurologic injury, with fully implantable brain-computer interface systems expected to reach the clinic in the upcoming decade.
D. Bergeron, C. Iorio-Morin, M. Bonizzato, Guillaume Lajoie, Nathalie Orr Gaucher, E. Racine, A. Weil   +6 more
semanticscholar   +1 more source

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications [PDF]

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI ...
Xiaotong Gu, Zehong Cao, A. Jolfaei, Peng Xu, Dongrui Wu, T. Jung, Chin-Teng Lin   +6 more
semanticscholar   +1 more source