Results 11 to 20 of about 2,082,534 (353)
Shared Three-Dimensional Robotic Arm Control Based on Asynchronous BCI and Computer Vision
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Objective: A brain-computer interface (BCI) can be used to translate neuronal activity into commands to control external devices. However, using noninvasive BCI to control a robotic arm for movements in three-dimensional (3D) environments and accomplish ...
Yajun Zhou +6 more
doaj +1 more source
Brain–computer interface: trend, challenges, and threats
Brain Informatics, 2023 Brain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in recent years.
B. Maiseli +8 more
semanticscholar +1 more source
Status of deep learning for EEG-based brain–computer interface applications
Frontiers in Computational Neuroscience, 2023 In the previous decade, breakthroughs in the central nervous system bioinformatics and computational innovation have prompted significant developments in brain–computer interface (BCI), elevating it to the forefront of applied science and research.
Khondoker Murad Hossain +4 more
semanticscholar +1 more source
Modulating Brain Activity with Invasive Brain–Computer Interface: A Narrative Review
Brain Science, 2023 Brain-computer interface (BCI) can be used as a real-time bidirectional information gateway between the brain and machines. In particular, rapid progress in invasive BCI, propelled by recent developments in electrode materials, miniature and power ...
Zhi-ping Zhao +6 more
semanticscholar +1 more source
State-of-the-Art on Brain-Computer Interface Technology
Italian National Conference on Sensors, 2023 This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms.
Jānis Pekša, D. Mamchur
semanticscholar +1 more source
LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Neuropsychological studies suggest that co-operative activities among different brain functional areas drive high-level cognitive processes. To learn the brain activities within and among different functional areas of the brain, we propose local-global ...
Yi Ding +4 more
semanticscholar +1 more source
Animals, 2022 Surround modulation has been abundantly studied in several mammalian brain areas, including the primary visual cortex, lateral geniculate nucleus, and superior colliculus (SC), but systematic analysis is lacking in the avian optic tectum (OT, homologous ...
Xiaoke Niu +4 more
doaj +1 more source
Animals, 2022 Birds can rapidly and accurately detect moving objects for better survival in complex environments. This visual ability may be attributed to the response properties of neurons in the optic tectum.
Shuman Huang +5 more
doaj +1 more source
Animals, 2022 Neurons responding sensitively to motions in several rather than all directions have been identified in many sensory systems. Although this directional preference has been demonstrated by previous studies to exist in the isthmi pars magnocellularis (Imc)
Jiangtao Wang +4 more
doaj +1 more source
Neural computing & applications (Print), 2022 Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement of portable non-invasive human sensor technologies, like brain–computer interfaces (BCI ...
Essam H. Houssein +2 more
semanticscholar +1 more source