Results 21 to 30 of about 544,226 (346)

High-speed spelling with a noninvasive brain–computer interface

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2015
Xiaogang Chen   +2 more
exaly   +2 more sources

Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review

open access: yesNeural 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

Disarrangement and reorganization of the hippocampal functional connectivity during the spatial path adjustment of pigeons

open access: yesBMC 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   +6 more
doaj   +1 more source

Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure

open access: yesAnimals, 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

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

open access: yesJournal 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   +8 more
doaj   +1 more source

State-of-the-Art on Brain-Computer Interface Technology

open access: yesItalian 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

Modulating Brain Activity with Invasive Brain–Computer Interface: A Narrative Review

open access: yesBrain 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

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   +1 more source

A brain-computer interface that evokes tactile sensations improves robotic arm control

open access: yesScience, 2021
A boost for brain–computer interfaces The finely controlled movement of our limbs requires two-way neuronal communication between the brain and the body periphery.
Sharlene N. Flesher   +8 more
semanticscholar   +1 more source

Hemodynamics for Brain-Computer Interfaces [PDF]

open access: yesIEEE Signal Processing Magazine, 2008
This article brings together the various elements that constitute the signal processing challenges presented by a hemodynamics-driven functional near-infrared spectroscopy (fNIRS) based brain-computer interface (BCI). We discuss the use of optically derived measures of cortical hemodynamics as control signals for next generation BCIs.
Fiachra Matthews   +4 more
openaire   +1 more source

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