Grand challenges in neurotechnology and system neuroergonomics
SH Fairclough, F Lotte - Frontiers in Neuroergonomics, 2020 - frontiersin.org
The research field of Neuroergonomics aims at “Understanding the brain in the wild, its
activity during unrestricted real-world tasks in everyday life contexts, and its relationship to …
activity during unrestricted real-world tasks in everyday life contexts, and its relationship to …
Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states
F Iwane, I Iturrate, R Chavarriaga… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. When humans perceive an erroneous action, an EEG error-related potential
(ErrP) is elicited as a neural response. ErrPs have been largely investigated in discrete …
(ErrP) is elicited as a neural response. ErrPs have been largely investigated in discrete …
Factors that affect error potentials during a grasping task: toward a hybrid natural movement decoding BCI
Objective. In this manuscript, we consider factors that may affect the design of a hybrid brain–
computer interface (BCI). We combine neural correlates of natural movements and …
computer interface (BCI). We combine neural correlates of natural movements and …
Spatial filtering based on Riemannian distance to improve the generalization of ErrP classification
Due to the inherent non-stationarity of EEG signals, before each experimental session, BCI
is usually calibrated to build the classification models, thus avoiding performance decay …
is usually calibrated to build the classification models, thus avoiding performance decay …
Enhanced error decoding from error-related potentials using convolutional neural networks
Error-related potentials are considered an important neuro-correlate for monitoring human
intentionality in decision-making, human-human, or human-machine interaction scenarios …
intentionality in decision-making, human-human, or human-machine interaction scenarios …
Towards interactive reinforcement learning with intrinsic feedback
Reinforcement learning (RL) and brain–computer interfaces (BCI) have experienced
significant growth over the past decade. With rising interest in human-in-the-loop (HITL) …
significant growth over the past decade. With rising interest in human-in-the-loop (HITL) …
Detection of error-related potentials in stroke patients from EEG using an artificial neural network
Error-related potentials (ErrPs) have been proposed as a means for improving brain–
computer interface (BCI) performance by either correcting an incorrect action performed by …
computer interface (BCI) performance by either correcting an incorrect action performed by …
Single-trial classification of error-related potentials in people with motor disabilities: a study in cerebral palsy, stroke, and amputees
Brain-computer interface performance may be reduced over time, but adapting the classifier
could reduce this problem. Error-related potentials (ErrPs) could label data for continuous …
could reduce this problem. Error-related potentials (ErrPs) could label data for continuous …
Yes or no? A study of ErrPs in the “guess what I am thinking” paradigm with stimuli of different visual content
A Berkmush-Antipova, N Syrov, L Yakovlev… - Frontiers in …, 2024 - frontiersin.org
Error-related potentials (ErrPs) have attracted attention in part because of their practical
potential for building brain-computer interface (BCI) paradigms. BCIs, facilitating direct …
potential for building brain-computer interface (BCI) paradigms. BCIs, facilitating direct …
Online detection of class-imbalanced error-related potentials evoked by motor imagery
Objective. Error-related potentials (ErrPs) are spontaneous electroencephalogram signals
related to the awareness of erroneous responses within brain domain. ErrPs-based …
related to the awareness of erroneous responses within brain domain. ErrPs-based …