Detecting motor imagery activities versus non-control in brain signals is the basis of self-paced brain-computer interfaces (BCIs), but also poses a considerable challenge to signal processing due to the complex and non-stationary characteristics of motor imagery as well as non-control. This paper presents a self-paced BCI based on a robust learning mechanism that extracts and selects spatio-sp...

Cognitive abnormalities have been extensively studied in Multiple Sclerosis (MS). However, little is known about the cognitive involvement in patients with Clinically Isolated Syndrome (CIS). Objective This study aimed to investigate cognitive impairment in patients with CIS compared with healthy subjects. Methods 18 CIS patients and 18 controls were subjected to the Wechsler memory scale, ...

“Tell me and I forget. Show me and I remember. Involve me and I understand.” This ancient proverb epitomises the concept on which multimedia education is founded i.e. learning is enhanced by stimulating multiple senses simultaneously. Research has revealed that humans have widely varying learning styles which are not catered for by conventional instruction [1]. As well as providing an effective...

The dramatic increase in the popularity of the Internet, largely brought about by the World Wide Web, has significantly increased the need for environments to support remote collaboration, learning, and research. Existing network technologies can be used to partly service the requirement for self-paced teaching, but a greater level of tool integration is needed to support directed learning and ...

The influence of presentation format on the effectiveness of multimedia instructions was investigated. According to Cognitive Load Theory (Sweller, Van Merriënboer & Paas, 1998) and Mayer's theory of multimedia learning (Moreno & Mayer, 1999), replacing visual text with audio will decrease working memory load and improve learning (modality effect). This hypothesis was tested in two experiments ...

We have developed computer-based clinical case histories incorporating multimedia elements to aid the learning of medicine in a problem-based manner. Topics have been developed in the specialty of Clinical Biochemistry but the approach used is suitable for any branch of clinical medicine. Each topic has material aimed at medical students and also postgraduate candidates for professional examina...

Abstract The paper aims to introduce a multigroup approach assess group effects in quantile regression. procedure estimates the same regression model at different quantiles, and for groups of observations. Such are defined by levels one or more stratification variables. proposed exploits computational test effects. In particular, bootstrap parametric permutation compared through artificial data...

It has been suggested that dopamine (DA) represents reward-prediction-error (RPE) defined in reinforcement learning and therefore DA responds to unpredicted but not predicted reward. However, recent studies have found DA response sustained towards predictable reward in tasks involving self-paced behavior, and suggested that this response represents a motivational signal. We have previously show...

Deep Metric Learning (DML) is a group of techniques that aim to measure the similarity between objects through neural network. Although number DML methods has rapidly increased in recent years, most previous studies cannot effectively handle noisy data, which commonly exists practical applications and often leads serious performance deterioration. To overcome this limitation, paper, we build co...