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Brain-computer interface commercialization [PDF]

Journal of NeuroEngineering and Rehabilitation
Background Brain-computer interfaces (BCIs) have emerged as powerful tools to restore neurological function lost due to injury or degeneration. Despite scientific advancements, successful commercialization remains challenging.
Jackson Powell, Anson Zhou
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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, Tianyou Yu, Wei Gao, Weichen Huang, Zilin Lu, Qiyun Huang, Yuanqing Li   +6 more
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Interfacing With the Computational Brain [PDF]

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2011
Neuroscience is just beginning to understand the neural computations that underlie our remarkable capacity to learn new motor tasks. Studies of natural movements have emphasized the importance of concepts such as dimensionality reduction within hierarchical levels of redundancy, optimization of behavior in the presence of sensorimotor noise and ...
Jackson A, Fetz EE
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Brain Computer Interfaces, a Review [PDF]

Sensors, 2012
A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices. The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or ‘locked in’ by neurological neuromuscular disorders, such ...
Nicolas Alonso, Luis Fernando, Gómez Gil, Jaime   +1 more
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Surround Modulation Properties of Tectal Neurons in Pigeons Characterized by Moving and Flashed Stimuli

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, Shuman Huang, Minjie Zhu, Zhizhong Wang, Li Shi   +4 more
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The brain–computer interface cycle [PDF]

Journal of Neural Engineering, 2009
Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the BCI cycle, i.e., the loop from the measurement of brain activity, classification of data, feedback to the ...
Gerven, M.A.J. van, Farquhar, J.D.R., Schaefer, R.S., Vlek, R.J., Geuze, J., Nijholt, A., Ramsey, N.F., Haselager, W.F.G., Vuurpijl, L.G., Gielen, S.C.A.M., Desain, P.W.M.   +10 more
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Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure

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, Longlong Qian, Songwei Wang, Li Shi, Zhizhong Wang   +4 more
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Disarrangement and reorganization of the hippocampal functional connectivity during the spatial path adjustment of pigeons

BMC Zoology, 2022
Background The hippocampus plays an important role to support path planning and adjustment in goal-directed spatial navigation. While we still only have limited knowledge about how do the hippocampal neural activities, especially the functional ...
Mengmeng Li, Shuguan Cheng, Jiantao Fan, Zhigang Shang, Hong Wan, Lifang Yang, Long Yang   +6 more
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Visual Responses to Moving and Flashed Stimuli of Neurons in Domestic Pigeon (Columba livia domestica) Optic Tectum

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, Xiaoke Niu, Jiangtao Wang, Zhizhong Wang, Huaxing Xu, Li Shi   +5 more
doaj   +1 more source

Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Journal of NeuroEngineering and Rehabilitation, 2023
Background Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electromyography, EMG) as control features
Floriana Pichiorri, Jlenia Toppi, Valeria de Seta, Emma Colamarino, Marcella Masciullo, Federica Tamburella, Matteo Lorusso, Febo Cincotti, Donatella Mattia   +8 more
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