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The expanding repertoire of brain–computer interfaces
Contains fulltext : 327719.pdf (Publisher’s version ) (Closed access)
Nick F. Ramsey, Mariska J. Vansteensel
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Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces [PDF]
Brain‒computer interfaces (BCIs) exhibit significant potential for various applications, including neurofeedback training, neurological injury management, and language, sensory and motor rehabilitation.
Weihang Gao +11 more
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Covert attention aids us in monitoring the environment and optimizing performance in visual tasks. Past behavioral studies have shown that covert attention can enhance spatial resolution.
Yajun Zhou +7 more
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Brain–computer interfaces re-shape functional neurosurgery [PDF]
Thomas Kinfe +2 more
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EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces [PDF]
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer, using neural activity as the control signal. This neural signal is generally chosen from a variety of well-studied electroencephalogram (EEG) signals. For a given BCI
Vernon J. Lawhern +5 more
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Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm
Online coadaptive training has been successfully employed to enable people to control motor imagery (MI)-based brain-computer interfaces (BCIs), allowing to completely skip the lengthy and demotivating open-loop calibration stage traditionally applied ...
Jose Diogo Cunha +3 more
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The brain–computer interface cycle [PDF]
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 +10 more
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Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making
In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this
Saugat Bhattacharyya +4 more
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Hemodynamics for Brain-Computer Interfaces [PDF]
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
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Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for ...
Zhouheng Wang +16 more
semanticscholar +1 more source

