Error-Related EEG Potentials Generated During Simulated Brain–Computer Interaction

By P. Ferrez, José del R. Millán. IEEE Transactions on Biomedical Engineering, 2008

393 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/37fd2fc9ae5baebe2f7ddb5456bc68f993d7bd66

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In Cognitive Neuroscience

Citations in the corpus

Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general (2011, background): “Based on earlier work on error-related potentials in the context of BCIs [44, 45], the study presented in [30] provided evidence that this concept is indeed capable of enhancing the interaction between human beings and technical systems with regard to efﬁciency, effectiveness and usability.”
Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010, background): “Pioneering work in this area deals with the recognition of mental states (such as mental workload [87], attention levels [66] and fatigue [190]) and cognitive processes (such as error-related potentials [16, 48, 49, 50] and anticipation [57]) from EEG.”
A comprehensive review of EEG-based brain–computer interface paradigms (2019, positive): “Ferrez and Millan [139] decoded errors followed the occurrence of miss recognition of user intent by the BCI system.”
Brain Computer Interfaces, a Review (2012, background): “These potentials are used as learning signals to prevent that error from being repeated in the future [221].”
Real-Time Modeling and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG (2013, neutral): “from EEG data for which univariate source processes such as event-related potentials (ERPs) have been employed in the past [4].”
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update (2018, background): “Such reinforcement signals can be deduced from error-related potentials (ErrP), potentials appearing following a perceived error which may have been committed by either the user or the machine [68].”