Results 51 to 60 of about 2,082,534 (353)

Visual cognition of birds and its underlying neural mechanism: A review

open access: yesAvian Research, 2022
Birds have acute vision and many remarkable visual cognition abilities, due to their unique living environment. The underlying neural mechanisms have also attracted interests of researchers in neuroscience. Here, we firstly summarize the visual cognition
Xiaoke Niu   +5 more
doaj  

Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces

open access: yesFrontiers 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   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

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

open access: yesFrontiers 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   +2 more
doaj   +1 more source

A Novel Multimodal Approach for Hybrid Brain–Computer Interface [PDF]

open access: yesIEEE Access, 2020
Brain-computer interface (BCI) technologies have been widely used in many areas. In particular, non-invasive technologies such as electroencephalography (EEG) or near-infrared spectroscopy (NIRS) have been used to detect motor imagery, disease, or mental
Zhe Sun, Zihao Huang, F. Duan, Yu Liu
semanticscholar   +1 more source

Sub-band common spatial pattern (SBCSP) for brain-computer interface [PDF]

open access: yes, 2007
Brain-computer interface (BCI) is a system to translate humans thoughts into commands. For electroencephalography (EEG) based BCI, motor imagery is considered as one of the most effective ways.
Cuntai, Guan   +3 more
core   +1 more source

Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review

open access: yesFrontiers in Computational Neuroscience, 2020
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the neurophysiological processes underpinning the SMR often vary over time and across subjects ...
S. Saha, M. Baumert
semanticscholar   +1 more source

MINERVA: A CubeSat for demonstrating DNA damage mitigation against space radiation in C. elegans by using genetic modification

open access: yesHeliyon, 2022
The ideas of deep-space human exploration, interplanetary travel, and space civilizations are becoming a reality. However, numerous hindrances remain standing in the way of accomplishing these feats, one of which is space ionizing radiation.
Sumeth Klomchitcharoen   +15 more
doaj  

Progress in Brain Computer Interface: Challenges and Opportunities [PDF]

open access: yesFrontiers in Systems Neuroscience, 2019
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have
S. Saha   +7 more
semanticscholar   +1 more source

EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

open access: yes, 2013
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses,
Aminaka, Daiki   +3 more
core   +1 more source

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