Results 31 to 40 of about 318,701 (312)

Brain Computer Interface Technologies in the Coming Decades

, 2012
As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage ...
Kerick, Scott E., Lance, Brent J., McDowell, Kaleb, Oie, Kelvin S., Ries, Anthony J.   +4 more
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

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces

Frontiers in Neuroscience, 2021
With the advent of advanced machine learning methods, the performance of brain–computer interfaces (BCIs) has improved unprecedentedly. However, electroencephalography (EEG), a commonly used brain imaging method for BCI, is characterized by a tedious ...
Sai Kalyan Ranga Singanamalla, Chin-Teng Lin, Chin-Teng Lin   +2 more
doaj   +1 more source

Is implicit motor imagery a reliable strategy for a brain computer interface? [PDF]

, 2017
Explicit motor imagery (eMI) is a widely used brain computer interface (BCI) paradigm, but not everybody can accomplish this task. Here we propose a BCI based on implicit motor imagery (iMI).
Osuagwu, Bethel A., Vuckovic, Aleksandra, Zych, Magdalena   +2 more
core   +1 more source

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source

Autism spectrum disorder disrupts brain network connectivity maturation during childhood development

Scientific Reports
Understanding the developmental trajectory of autism spectrum disorder (ASD) remains a critical barrier for timely intervention in children. Here, we investigated the deficit brain maturation trajectory during childhood development in 35 ASD level 1 and ...
Lattika Tiawongsuwan, Sumeth Klomchitcharoen, Wachiraya Chumanee, Tanchanok Tangwattanasirikun, Soracha Saksittikorn, Saharat Chawaruechai, Tirapoot Jatupornpoonsub, Yodchanan Wongsawat   +7 more
doaj   +1 more source

How Electroencephalogram Reference Influences the Movement Readiness Potential?

Frontiers in Neuroscience, 2017
Readiness potential (RP) based on electroencephalograms (EEG) has been studied extensively in recent years, but no studies have investigated the influence of the reference electrode on RP.
Yuxia Hu, Lipeng Zhang, Mingming Chen, Xiaoyuan Li, Li Shi   +4 more
doaj   +1 more source

SSVEP Stimulus Layout Effect on Accuracy of Brain-Computer Interfaces in Augmented Reality Glasses

IEEE Access, 2020
Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) has the advantage of high information transfer rate (ITR) and little user training, and it has a high application value in the field of disability assistance and human ...
Xincan Zhao, Chenyang Liu, Zongxin Xu, Lipeng Zhang, Rui Zhang   +4 more
doaj   +1 more source

Spike-Representation of EEG Signals for Performance Enhancement of Brain-Computer Interfaces

Frontiers in Neuroscience, 2022
Brain-computer interfaces (BCI) relying on electroencephalography (EEG) based neuroimaging mode has shown prospects for real-world usage due to its portability and optional selectivity of fewer channels for compactness. However, noise and artifacts often
Sai Kalyan Ranga Singanamalla, Chin-Teng Lin, Chin-Teng Lin   +2 more
doaj   +1 more source