Results 21 to 30 of about 38,003 (279)

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

Shifts in Estimated Preferred Directions During Simulated BMI Experiments With No Adaptation

Frontiers in Systems Neuroscience, 2021
Experiments with brain-machine interfaces (BMIs) reveal that the estimated preferred direction (EPD) of cortical motor units may shift following the transition to brain control.
Miri Benyamini, Miriam Zacksenhouse, Miriam Zacksenhouse   +2 more
doaj   +1 more source

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

Journal of NeuroEngineering and Rehabilitation, 2017
Background In this work, we share our experiences made at the world-wide first CYBATHLON, an event organized by the Eidgenössische Technische Hochschule Zürich (ETH Zürich), which took place in Zurich in October 2016.
Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-Putz   +8 more
doaj   +1 more source

An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System

Frontiers in Neuroscience, 2019
Most existing brain-computer Interfaces (BCIs) are designed to control a single assistive device, such as a wheelchair, a robotic arm or a prosthetic limb.
Qiyun Huang, Zhijun Zhang, Tianyou Yu, Shenghong He, Yuanqing Li   +4 more
doaj   +1 more source

Signature methods for brain-computer interfaces

Scientific Reports, 2023
Brain-computer interfaces (BCIs) allow direct communication between one’s central nervous system and a computer without any muscle movement hence by-passing the peripheral nervous system.
Xiaoqi Xu, Darrick Lee, Nicolas Drougard, Raphaëlle N. Roy   +3 more
doaj   +1 more source

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

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

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