Fixation-related Potentials as a Natural Index of Task Difficulty: Single-trial Classification

Assessing the Properties of Single-Trial Fixation-Related Potentials in a Complex Choice Task

Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials

The co-registration of eye tracking and electroencephalography provides a holistic measure of ongoing cognitive processes. Recently, fixation-related potentials have been introduced to quantify the neural activity in such bi-modal recordings. Fixation-related potentials are time-locked to fixation onsets, just like event-related potentials are locked to stimulus onsets. Compared to existing ele...

Bayesian Classification of Single-Trial Event-Related Potentials in EEG

We present a systematic and straightforward approach to the problem of single-trial classification of event-related potentials (ERP) in EEG. Instead of using a generic classifier off-the-shelf, like a neural network or support vector machine, our classifier design is guided by prior knowledge about the problem and statistical properties found in the data. In particular, we exploit the well-know...

Classification of Eye Fixation Related Potentials for Variable Stimulus Saliency

OBJECTIVE Electroencephalography (EEG) and eye tracking can possibly provide information about which items displayed on the screen are relevant for a person. Exploiting this implicit information promises to enhance various software applications. The specific problem addressed by the present study is that items shown in real applications are typically diverse. Accordingly, the saliency of inform...

Accelerating Human Motor Response Using Single-Trial EEG Classification of Event-Related Potentials

LECTROENCEPHALOGRAM (EEG)-based brain-computer interfaces (BCI) provide a new tool to people with severe motor disabilities to communicate with their environments [1]. Although BCI researchers mainly focus on clinical research and practices, they are now expanding their attention to include the use of neural information for improving humansystem performance, human cognition and action [2-5]. Re...