Abstract — In most paradigms for Brain-Computer Interfaces (BCIs) that are based on Event-Related Potentials (ERPs), stimuli are presented with a pre-defined and constant speed. In order to boost BCI performance by optimizing the parame-ters of stimulation, this offline study investigates the impact of the stimulus onset asynchrony (SOA) on ERPs and the resulting classification accuracy. The SOA is defined as the time between the onsets of two consecutive stimuli, which represents a measure for stimulation speed. A simple auditory oddball paradigm was tested in 14 SOA conditions with a SOA between 50 ms and 1000 ms. Based on an offline ERP analysis, the BCI performance (quantified by the Information Transfer Rate, ITR in bits/min) was simul...
A brain-computer interface (BCI) is a channel of communication that transforms brain activity into s...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
When a subject operates a non-invasive brain-computer interface (BCI), the system correctly infers t...
For most ERP-based BCI paradigms, the stimuli are presented with a prede-fined and constant speed. I...
Recently, a brain-computer interface (BCI) using virtual sound sources has been proposed for estimat...
Brain-Computer-Interfaces (BCI) involve two coupled adapting systems: the human subject and the comp...
Brain-computer interfaces (BCI) technology can provide an alternative form of communication for indi...
Recent works on different types of Brain Computer Interface (BCI) and their performance analysis h...
<p>Recently, a brain-computer interface (BCI) using virtual sound sources has been proposed for esti...
Abstract Brain-computer interfaces (BCIs) involve two coupled adapting systems-the human subject and...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
Abstract—Noninvasive electroencephalogram (EEG) record-ings provide for easy and safe access to huma...
Abstract. Objective: A fundamental issue in EEG event-related potentials (ERPs) studies is the amoun...
Modern electrophysiological studies in animals show that the spectrum of neural oscillations encodin...
<p>A brain–computer interface (BCI) is a channel of communication that transforms brain activity int...
A brain-computer interface (BCI) is a channel of communication that transforms brain activity into s...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
When a subject operates a non-invasive brain-computer interface (BCI), the system correctly infers t...
For most ERP-based BCI paradigms, the stimuli are presented with a prede-fined and constant speed. I...
Recently, a brain-computer interface (BCI) using virtual sound sources has been proposed for estimat...
Brain-Computer-Interfaces (BCI) involve two coupled adapting systems: the human subject and the comp...
Brain-computer interfaces (BCI) technology can provide an alternative form of communication for indi...
Recent works on different types of Brain Computer Interface (BCI) and their performance analysis h...
<p>Recently, a brain-computer interface (BCI) using virtual sound sources has been proposed for esti...
Abstract Brain-computer interfaces (BCIs) involve two coupled adapting systems-the human subject and...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
Abstract—Noninvasive electroencephalogram (EEG) record-ings provide for easy and safe access to huma...
Abstract. Objective: A fundamental issue in EEG event-related potentials (ERPs) studies is the amoun...
Modern electrophysiological studies in animals show that the spectrum of neural oscillations encodin...
<p>A brain–computer interface (BCI) is a channel of communication that transforms brain activity int...
A brain-computer interface (BCI) is a channel of communication that transforms brain activity into s...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
When a subject operates a non-invasive brain-computer interface (BCI), the system correctly infers t...