We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses Interaction Error Potentials (IErrPs) as a reinforcement signal.
We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses Interaction Error Potentials (IErrPs) as a reinforcement ...
We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses Interaction Error Potentials (IErrPs) as a reinforcement signal ...
ABSTRACTOne method for improving the accuracy and hence the rate of communication of a brain–computer interface (BCI) is to automatically correct erroneous ...
We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses. Interaction Error Potentials (IErrPs) as a reinforcement ...
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We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses Interaction Error Potentials (IErrPs) as a reinforcement signal ...
Error-related potentials (ErrPs) represent the neural signature of error processing in the brain and numerous studies have demonstrated their reliable ...
This paper studies Error-related potentials (ErrP) elicited when a human user monitors an external system upon which he has no control whatsoever.
Our results support the possibility to detect ErrPs during MI-BCI spelling and suggest the absence of any BCI feedback-related interference.
On the use of interaction error potentials for adaptive brain computer interfaces. Article. Dec 2011. Alberto Llera · Marcel van ...