2 Upcoming CuttingEEG Events

Save these dates in calendar:

3-5 December 2019 – PracticalMEEG (Paris, ICM)

6-9 July 2020 – CuttingEEG (Aix en Provence)

Registration and further details will be released in September.


  • PracticalMEEG in Paris, ICM – December 3 to 5, 2019
    This is our first 100% practical meeting. Three days dedicated to learning by doing MEG-EEG analysis. The program is still in the making, but here are a few important facts:
    • Full-blown analysis, from raw data to statistics.
    • Introduction to Brain Imaging Data Structure (BIDS), the new standard for data organization, fostering robust, reproducible, shareable, machine readable processing pipelines.
    • Three parallel tracks with Brainstorm, FieldTrip and MNE-Python: you get to choose your favorite toolbox(es), play safe, go risky, knit, bridge, cross, any way you like!
    • Satellite: on December 6th, also at the ICM, get the opportunity to learn about TimeFlux, a free and open-source framework for the acquisition and real-time processing of biosignals.

  • CuttingEEG 5th edition – in Aix en Provence – July 6th to 9th, 2020
    • This will be our usual 100% cutting-edge methods for EEG research on cognition in Aix en Provence.
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March 2019: Artifact Removal Review

Removal of Artifacts from EEG Signals: A Review

Xiao JiangGui-Bin Bian, and Zean TianSensors (Basel). 2019 Mar; 19(5): 987.

Abstract

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.

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Mike Cohen Workshops

Mike X Cohen Workshops in July and August 2019

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

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