Results 271 to 280 of about 5,286,923 (301)

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Different feedback modes of brain-computer interface training for upper limb motor function after stroke: a protocol for a systematic review and network meta-analysis. [PDF]

Front Neurol
Li Y, Deng Y, Deng L, Lu X, Huang C, Chen X, Liu Y, Chen P, Tang M, Wang F.   +9 more
europepmc   +1 more source

El-rakhawi Doctrine THE FOUNDATIONAL LAW OF COGNITIVE SOVEREIGNTY AND NEURAL DATA PROTECTION A Legal Framework for Mental Integrity, Brain-Computer Interface Governance, and Cognitive Rights

m el-rakhawi
openalex   +1 more source

Passive Brain-Computer Interface Using Textile-Based Electroencephalography. [PDF]

Sensors (Basel)
Anzalone A, Acampora E, Liu C, Hajra SG.
europepmc   +1 more source

Comparative Effectiveness of Noninvasive Brain-Computer Interface-Based Interventions for Upper Limb Rehabilitation in Poststroke Hemiplegia: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials. [PDF]

J Med Internet Res
Xu J, Gao Y, Xie S, Jiang W, Zhang H, Qiu L, Jiang M, Zhou L.   +7 more
europepmc   +1 more source

A brain computer interface for exit choice scenarios in virtual reality

Sunil Pandey
openalex   +1 more source

Review of brain-computer interface technology in ophthalmology: Current status, challenges and future directions. [PDF]

Adv Ophthalmol Pract Res
Zhou J, Hu D, Wu M, Hong Z, Li R, Chen Q, Mi X, Zhang J.   +7 more
europepmc   +1 more source

Emerging Neural Recording and Neurostimulation Technologies Based on Brain-Computer Interface: A Promising Approach for Neuropsychiatric Disorders. [PDF]

MedComm (2020)
Xu Y, Chen D, Ye Q, Zhang P, Shi J, Li S, Sun Y, Zhao Z, Tang Y, Zhang P, Tang Z.   +10 more
europepmc   +1 more source

Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control. [PDF]

Nat Commun
Wang H, Zhang Y, Karrenbach M, Ding Y, He B.   +4 more
europepmc   +1 more source

Design and Decoding of a Novel Steering Motor Imagery Paradigm for Driving Brain–Computer Interfaces

Peiwen Mi, Zhengtong Liu, Yifei Yang, Guofeng Qin, Xin Chen, Jiajin He, Fengyi Li, Fuwu Yan, Lirong Yan   +8 more
openalex   +1 more source