Results 111 to 120 of about 5,224,879 (222)

Editorial: Advances in artificial intelligence (AI) in brain computer interface (BCI) and Industry 4.0 for human machine interaction (HMI). [PDF]

Front Hum Neurosci, 2023
Asgher U, Ayaz Y, Taiar R.
europepmc   +1 more source

Virtual Reality Attention Tasks in Attention Deficit Hyperactivity Disorder: I. Behavioural Responses

European Journal of Neuroscience, Volume 64, Issue 6, September 2026.
Sustained attention was the primary domain that differentiated groups, with the traditionally formatted task being the most sensitive to attentional differences. Virtual reality paradigms may provide ecologically valid tools for form‐specific attentional assessment.
Fjorda Kazazi, Peter Howell
wiley   +1 more source

Design-development of an at-home modular brain-computer interface (BCI) platform in a case study of cervical spinal cord injury. [PDF]

J Neuroeng Rehabil, 2022
Davis KC, Meschede-Krasa B, Cajigas I, Prins NW, Alver C, Gallo S, Bhatia S, Abel JH, Naeem JA, Fisher L, Raza F, Rifai WR, Morrison M, Ivan ME, Brown EN, Jagid JR, Prasad A.   +16 more
europepmc   +1 more source

Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs

Sensors
Studies using source localization results have shown that cortical involvement increased in treadmill walking with brain–computer interface (BCI) control.
Pengna Wei, Tong Chen, Jinhua Zhang, Jiandong Li, Jun Hong, Lin Zhang   +5 more
doaj   +1 more source

Brain computer interface using chromatic transient visual stimulus array

, 2013
Transient chromatic circle was proposed to be a safer and more comfortable stimulation method for brain-computer interface (BCI). This study further developed a chromatic array to elicit chromatic transient visual evoked potentials (CTVEP).
Chang, C, Hu, Y, Li, J, Zhang, Z
core   +1 more source

Discussion on Magnetic Resonance Compatibility of Implantable Brain-Computer Interface Devices

Zhongguo yiliao qixie zazhi
Brain-computer interface (BCI) devices are crucial tools for neural stimulation and recording, offering broad prospects in the diagnosis and treatment of neurological disorders.
Kaixiang JIN, Xun LIU, Sheng HU, Yonghua LI, Yuetong WU, Jiaxing LI, Chenghuai MO   +6 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

Brain-computer interface paradigms and neural coding

Frontiers in Neuroscience
Brain signal patterns generated in the central nervous system of brain-computer interface (BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI paradigms and neural coding are critical elements for BCI research. However,
Pengrui Tai, Pengrui Tai, Peng Ding, Peng Ding, Fan Wang, Fan Wang, Anmin Gong, Tianwen Li, Tianwen Li, Lei Zhao, Lei Zhao, Lei Su, Lei Su, Yunfa Fu, Yunfa Fu   +14 more
doaj   +1 more source

Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study. [PDF]

PLoS One, 2021
Matarasso AK, Rieke JD, White K, Yusufali MM, Daly JJ.   +4 more
europepmc   +1 more source

Feel the BCI vibe – vibrotactile BCI feedback [PDF]

Controlling a device via a brain-computer interface (BCI) requires the participant to look and to split the attention between the device and the BCI feedback, which is partly contradictory.
Gwak, Kiuk, Leeb, Robert, Kim, Dae-Shik, Millán, José del R.   +3 more
core   +1 more source