Workshops & Conferences
Mike X Cohen has just announced 2 intensive week long neuro-analysis courses for 2019 to be hosted at Radbound University in the Netherlands.
Analyzing neural time series data (8-12 July and 5-9 August). Fourier transform, convolution, time-frequency analysis, synchronization, nonparametric statistics, simulating time series data. The August course is recommended for people interested in both courses.
Linear algebra for neuroscientists (12-16 August). Matrix algebra, least-squares model fitting, eigendecomposition, multivariate source separation, simulating multicomponent and multichannel time series data.
More information and the course syllabus can be found at www.sincxpress.com
Articles & Updates
Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated with artifacts and then affect the analysis of EEG signal. Hence, it is essential to develop methods to effectively detect and extract the clean EEG data during encephalogram recordings. Several methods have been proposed to remove artifacts, but the research on artifact removal continues to be an open problem. This paper tends to review the current artifact removal of various contaminations. We first discuss the characteristics of EEG data and the types of different artifacts. Then, a general overview of the state-of-the-art methods and their detail analysis are presented. Lastly, a comparative analysis is provided for choosing a suitable methods according to particular application.