Results 61 to 70 of about 378,811 (361)
Brain–computer interfaces: the innovative key to unlocking neurological conditions
International Journal of SurgeryNeurological disorders such as Parkinson’s disease, stroke, and spinal cord injury can pose significant threats to human mortality, morbidity, and functional independence.
Hongyu Zhang +10 more
semanticscholar +1 more source
Frontiers in Neuroscience, 2020 Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes to measure electrophysiological brain activity. It is most commonly used in the identification of epileptogenic zones in cases of refractory epilepsy.
Christian Herff +2 more
semanticscholar +1 more source
Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach [PDF]
IEEE Transactions on Biomedical Engineering, 2018 Objective: This paper targets a major challenge in developing practical electroencephalogram (EEG)-based brain–computer interfaces (BCIs): how to cope with individual differences so that better learning performance can be obtained for a new subject, with
He He, Dongrui Wu
semanticscholar +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Brain-Computer Interfaces, Virtual Reality, and Videogames [PDF]
, 2015 Major challenges must be tackled for brain-computer interfaces to mature into an established communications medium for VR applications, which will range from basic neuroscience studies to developing optimal peripherals and mental gamepads and more ...
Hirose, Michitaka +5 more
core +2 more sources
Modality-specific Affective Responses and their Implications for Affective BCI [PDF]
, 2011 Reliable applications of multimodal affective brain-computer interfaces (aBCI) require a detailed understanding of the processes involved in emotions. To explore the modality-specific nature of affective responses, we studied neurophysiological responses
Broek, E.L. van den +5 more
core +12 more sources
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
Scientific DataSemantic neural decoding aims to identify which semantic concepts an individual focuses on at a given moment based on recordings of their brain activity.
Milan Rybář, Riccardo Poli, Ian Daly
doaj +1 more source
Biased feedback in brain-computer interfaces
Journal of NeuroEngineering and Rehabilitation, 2010 Even though feedback is considered to play an important role in learning how to operate a brain-computer interface (BCI), to date no significant influence of feedback design on BCI-performance has been reported in literature.
Barbero Álvaro, Grosse-Wentrup Moritz
doaj +1 more source
Encoder-decoder optimization for brain-computer interfaces. [PDF]
PLoS Computational Biology, 2015 Neuroprosthetic brain-computer interfaces are systems that decode neural activity into useful control signals for effectors, such as a cursor on a computer screen.
Josh Merel +3 more
doaj +1 more source
Brain-Computer Interfaces [PDF]
Berkeley Scientific Journal, 2009 The world of fiction often depicts mad scien- tists controlling robots with their m' ds, wreak- ing havoc and destruction in the liv s of many. Although such manifestations of disa ter inspire fear in many, the age of the cyborg, or the melding _ of brain and machine, is here. Dr. Philip Kennedy: of Neural Signals, Inc., was the first researcher to
openaire +3 more sources