Results 11 to 20 of about 38,003 (279)

Optogenetic Brain–Computer Interfaces [PDF]

Bioengineering
The brain–computer interface (BCI) is one of the most powerful tools in neuroscience and generally includes a recording system, a processor system, and a stimulation system. Optogenetics has the advantages of bidirectional regulation, high spatiotemporal
Feifang Tang, Feiyang Yan, Yushan Zhong, Jinqian Li, Hui Gong, Xiangning Li   +5 more
doaj   +4 more sources

Brain Computer Interfaces, a Review [PDF]

Sensors, 2012
A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices.
Luis Fernando Nicolas-Alonso, Jaime Gomez-Gil   +1 more
doaj   +4 more sources

Brain–Computer Interfaces in Parkinson’s Disease Rehabilitation [PDF]

Biomimetics
Parkinson’s disease (PD) is a progressive neurological disorder with motor and non-motor symptoms that are inadequately addressed by current pharmacological and surgical therapies.
Emmanuel Ortega-Robles, Ruben I. Carino-Escobar, Jessica Cantillo-Negrete, Oscar Arias-Carrión   +3 more
doaj   +2 more sources

Brain-Computer Interfaces for Stroke Motor Rehabilitation [PDF]

Bioengineering
Brain–computer interface (BCI) technology holds promise for improving motor rehabilitation in stroke patients. This review explores the immediate and long-term effects of BCI training, shedding light on the potential benefits and challenges.
Alessandro Tonin, Marianna Semprini, Pawel Kiper, Dante Mantini   +3 more
doaj   +2 more sources

Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces [PDF]

Journal of Nanobiotechnology
Brain‒computer interfaces (BCIs) exhibit significant potential for various applications, including neurofeedback training, neurological injury management, and language, sensory and motor rehabilitation.
Weihang Gao, Zineng Yan, Hong Zhou, Yi Xie, Honglin Wang, Jiaming Yang, Jingbo Yu, Changmao Ni, Pengran Liu, Mao Xie, Li Huang, Zhewei Ye   +11 more
doaj   +2 more sources

Brain–computer interfaces re-shape functional neurosurgery [PDF]

Neural Regeneration Research
Thomas Kinfe, Steffen Brenner, Nima Etminan   +2 more
doaj   +2 more sources

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

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

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