Results 91 to 100 of about 76,961 (216)

The Brindisys Project: Brain Computer Interfaces as Assistive Technology for People with ALS [PDF]

, 2013
The Brindisys project aims at designing and developing a general assistive technology to support communication and autonomy in people with Amyotrophic Lateral Sclerosis (ALS) from the onset of the disease to the locked-in phase.
Mecella M, Palumbo A, Mattia D, Cincotti F, Schettini F, Simione L, Caruso M, Pizzimenti A, Frasca V, Amato F, Inghilleri M, Liberati G, Calabrese B, Ielpo N, Riccio A   +14 more
core  

The m6A demethylase FTO suppresses glioma proliferation by regulating the EREG/PI3K/Akt signaling pathway

Frontiers in Cell and Developmental Biology
BackgroundGlioma, the most prevalent primary intracranial tumor, is characterized by aggressive proliferation and formidable treatment challenges. The N6-methyladenosine (m6A) demethylase, Fat mass and obesity-associated protein (FTO), is a critical ...
Yong Zhai, Caili Li, Lihui Cao, Shen Zhang, Xiao Liu, Junwei Ren, Yue Liu   +6 more
doaj   +1 more source

Recent Advances in Brain-Computer Interface Systems [PDF]

, 2011
Brain Computer Interface (BCI) technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer.

core   +1 more source

Optogenetic Brain–Computer Interfaces

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 resolution, and cell-specific regulation, which expands the application scenarios of BCIs.
Feifang Tang, Feiyang Yan, Yushan Zhong, Jinqian Li, Hui Gong, Xiangning Li   +5 more
openaire   +3 more sources

Interface cérebro-computador não invasiva baseada em OpenVibe [PDF]

, 2010
O Objectivo desta dissertação é desenvolver uma Interface Cérebro – Computador (ICC) não invasiva baseada em sinais de Electroencefalograma, no ambiente computacional OpenVibe. Os sistemas ICC congregam várias áreas distintas de conhecimento.
Prada, Bruno Miguel Lopes
core   +1 more source

Brain-Computer Interface Devices: Risks and Canadian Regulations [PDF]

, 2008
Implantable Brain-Computer Interface (BCI) devices are currently in clinical trials in the U.S., and their introduction into the Canada could follow in the next few years.
Alpert, Sheri
core   +1 more source

A Wireless Future: performance art, interaction and the brain-computer interfaces [PDF]

, 2014
Although the use of Brain-Computer Interfaces (BCIs) in the arts originates in the 1960s, there is a limited number of known applications in the context of real-time audio-visual and mixed-media performances and accordingly the knowledge base of this ...
Pollick, Frank, Zioga, Polina, Ma, Minhua, Chapman, Paul   +3 more
core  

Automatic recognition of error potentials in a P300-based brain-computer interface [PDF]

, 2008
An error potential (ErrP) is an innate event-related potential generated when a subject makes a mistake, and, more relevant to brain-computer interface (BCI) applications, when the BCI itself behaves differently from the user intent.
B. Dal Seno, M. Matteucci, VISCONTI, GIANMARIA, MATTEUCCI, MATTEO, G. Visconti, L. Mainardi, DAL SENO, BERNARDO, MAINARDI, LUCA   +7 more
core  

Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)-oriented methods.
Mushfika Sultana, Serafeim Perdikis
doaj   +1 more source

Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication

Nature Communications
Both diffusion magnetic resonance imaging and transcriptomic technologies have provided unprecedented opportunities to dissect brain network communication, offering insights from structural connectivity and signaling molecules separately.
Zongchang Du, Congying Chu, Weiyang Shi, Na Luo, Yuheng Lu, Haiyan Wang, Bokai Zhao, Hui Xiong, Zhengyi Yang, Tianzi Jiang   +9 more
doaj   +1 more source