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A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Objective. Most current electroencephalography (EEG)-based brain–computer interfaces
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Generative adversarial networks-based data augmentation for brain–computer interface
The performance of a classifier in a brain-computer interface (BCI) system is highly
dependent on the quality and quantity of training data. Typically, the training data are …
dependent on the quality and quantity of training data. Typically, the training data are …
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
Objective. Despite the effective application of deep learning (DL) in brain–computer
interface (BCI) systems, the successful execution of this technique, especially for inter …
interface (BCI) systems, the successful execution of this technique, especially for inter …
[HTML][HTML] Brain computer interfaces, a review
A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …
permits cerebral activity alone to control computers or external devices. The immediate goal …
Review of the BCI competition IV
The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …
high quality neuroscientific data for open access to the scientific community. As experienced …
Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear
This study presents first evidence that reliable EEG data can be recorded with a new
cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and …
cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and …
Towards reconstructing intelligible speech from the human auditory cortex
Auditory stimulus reconstruction is a technique that finds the best approximation of the
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
Visual and auditory brain–computer interfaces
Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
Single-trial analysis and classification of ERP components—a tutorial
Analyzing brain states that correspond to event related potentials (ERPs) on a single trial
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …