EEG-BCIs have been well studied in the past decades and implemented into several famous applications, like P300 speller and wheelchair controller. However, these interfaces are indirect due to low spatial resolution of EEG. Recently, direct ECoG-BCIs attract intensive attention because ECoG provides a higher spatial resolution and signal quality. This makes possible localization of the source o...

We propose a method that combines single-trial classification and channel/basis selection in a single regularized empirical risk minimization problem. We use the linear sum of the Euclidian norms of the columns of the coefficient matrix as the regularizer. This penalty enables us to select rows and columns of the coefficient matrix, which correspond to a subset of the channels or a subset of ba...

We propose a regularized discriminative framework for signal analysis of electroencephalography (EEG) in the context of brain-computer interfacing (BCI). The proposed approach unifies tasks such as feature extraction, feature selection, feature combination, and classification, which are often independently tackled conventionally, under a regularized empirical risk minimization problem. The feat...

We propose a framework for signal analysis of electroencephalography (EEG) that unifies tasks such as feature extraction, feature selection, feature combination, and classification, which are often independently tackled conventionally, under a regularized empirical risk minimization problem. The features are automatically learned, selected and combined through a convex optimization problem. Mor...

Many people affected by debilitating neuromuscular disorders such as amyotrophic lateral sclerosis (ALS), brainstem stroke, or spinal cord injury are impaired in their ability to communicate. Conventional assistive devices (e.g., letter boards, cheek or tongue switches, or eye trackers) that aim to restore communication all require muscular control, which is often lost in the progress of neurom...

Event-related potential (ERP) is bioelectrical activity that occurs in the brain response to specific events or stimuli, reflecting electrophysiological changes during cognitive processes. ERP important neuroscience and has been applied brain-computer interfaces (BCIs). However, because signals collected on scalp are weak, mixed with spontaneous electroencephalogram (EEG) signals, their tempora...