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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
doaj   +2 more sources

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
doaj   +1 more source

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
doaj   +1 more source

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

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
doaj   +1 more source

Visual Tracking Brain-Computer Interface

iScience, 2023
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods.
Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen, Yijun Wang, Xiaorong Gao   +5 more
openaire   +4 more sources

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

Avian 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, Zhenyang Jiang, Yanyan Peng, Shuman Huang, Zhizhong Wang, Li Shi   +5 more
doaj   +1 more source

A Moving Target Detection Model Inspired by Spatio-Temporal Information Accumulation of Avian Tectal Neurons

Mathematics, 2023
Moving target detection in cluttered backgrounds is always considered a challenging problem for artificial visual systems, but it is an innate instinct of many animal species, especially the avian.
Shuman Huang, Xiaoke Niu, Zhizhong Wang, Gang Liu, Li Shi   +4 more
doaj   +1 more source