[HTML][HTML] The potential for a speech brain–computer interface using chronic electrocorticography
A brain–computer interface (BCI) is a technology that uses neural features to restore or
augment the capabilities of its user. A BCI for speech would enable communication in real …
augment the capabilities of its user. A BCI for speech would enable communication in real …
Noninvasive brain–machine interfaces for robotic devices
The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
CNN with large data achieves true zero-training in online P300 brain-computer interface
Each person has his or her own distinct event-related potential (ERP) signals. Thus,
traditional brain-computer interface (BCI) systems require a calibration process in which the …
traditional brain-computer interface (BCI) systems require a calibration process in which the …
Learning invariant patterns based on a convolutional neural network and big electroencephalography data for subject-independent P300 brain-computer interfaces
W Gao, T Yu, JG Yu, Z Gu, K Li… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
A brain-computer interface (BCI) measures and analyzes brain activity and converts this
activity into computer commands to control external devices. In contrast to traditional BCIs …
activity into computer commands to control external devices. In contrast to traditional BCIs …
Hearing the needs of clinical users
In the past 10 years, brain-computer interfaces (BCIs) for controlling assistive devices have
seen tremendous progress with respect to reliability and learnability, and numerous …
seen tremendous progress with respect to reliability and learnability, and numerous …
Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees
Objective Using traditional approaches, a brain-computer interface (BCI) requires the
collection of calibration data for new subjects prior to online use. Calibration time can be …
collection of calibration data for new subjects prior to online use. Calibration time can be …
Unsupervised learning for brain-computer interfaces based on event-related potentials: Review and online comparison [research frontier]
One of the fundamental challenges in brain-computer interfaces (BCIs) is to tune a brain
signal decoder to reliably detect a user's intention. While information about the decoder can …
signal decoder to reliably detect a user's intention. While information about the decoder can …
UMM: Unsupervised mean-difference maximization
J Sosulski, M Tangermann - arXiv preprint arXiv:2306.11830, 2023 - arxiv.org
Many brain-computer interfaces make use of brain signals that are elicited in response to a
visual, auditory or tactile stimulus, so-called event-related potentials (ERPs). In visual ERP …
visual, auditory or tactile stimulus, so-called event-related potentials (ERPs). In visual ERP …
A single-stimulus, multitarget BCI based on retinotopic mapping of motion-onset VEPs
Objective: We present a new type of brain-computer interface (BCI) that utilizes the
retinotopic mapping of motion-onset visual evoked potentials (mVEP) to accomplish four …
retinotopic mapping of motion-onset visual evoked potentials (mVEP) to accomplish four …
[HTML][HTML] Oscillatory source tensor discriminant analysis (ostda): a regularized tensor pipeline for ssvep-based bci systems
Abstract Periodic signals called Steady-State Visual Evoked Potentials (SSVEP) are elicited
in the brain by flickering stimuli. They are usually detected by means of regression …
in the brain by flickering stimuli. They are usually detected by means of regression …