Event-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems as input signals conveying a subject’s intention. A fast and reliable single-trial ERP detection method can be used to develop a BCI system with both high speed …
Pain is a highly subjective experience, and the availability of an objective assessment of pain perception would be of great importance for both basic and clinical applications. The objective of the present study is to develop a novel approach to …
Recently, the synchronization issue in chaotic systems has become a hot topic in nonlinear dynamics and has aroused great interest among researchers due to the theoretical significance and potential applications. In this paper, complete periodic …
An important property of brain signals is their nonstationarity. How to adapt a Brain-Computer Interface (BCI) to the changing brain states is one of the challenges faced by BCI researchers, especially in a real application scenario where the …
The Common Spatial Pattern (CSP) algorithm is a popular method for efficiently calculating spatial filters. However, several previous studies show that CSP's performance deteriorates especially when the number of channels is large compared to small …
In this paper, we focus on the effect of a network’s structure on the process of opinion formation. Emphasis is placed on the minority’s opinion evolution in a community structured network, where the majority rule is applied to govern the evolution. …