Dear EEG community,
Cutting EEG, the first symposium on Cutting-edge EEG methods for research on cognition happened in Berlin on the 19th to 21th February 2014. The success of this small event was resounding and we are now looking to raise its impact by preparing a special issue at Journal of Neuroscience Methods for the end of this year.
By bringing together leading scientists contributing to the field in this special issue, we wish to create a landmark reference of methods for EEG research on cognition. We would like this issue to cover the most important basic aspects the EEG analysis workflow, as well as making state-of-the-art tools for signal processing, robust statistics and machine learning more accessible to our community.
The submission process goes as follows:
- Submission via http://ees.elsevier.com/jneumeth/
- Your paper will go through a full review process. We will be in contact through the submission system. The final decision to publish is made by Editor in Chief Vincenzo Crunelli <Crunelli@cardiff.ac.uk>.
- There is no hard limit of page length, but we recommend 5000-7000 words.
- No mandatory publication charges. Figures in color are free online. Optional charges for authors of color in print (each author will get 4 color figures in print for free but will pay 270 EUR per figure beyond that). - There is also an Open Access option at your charge (1,800 USD per article).
For additional and more detailed information and guidelines: http://www.elsevier.com/journals/journal-of-neuroscience-methods/0165-0270/guide-for-authors
Time schedule for this Special Issue:
31 May 2014 Deadline for submission of MSs
July 2014 Reviews returned to authors
October 2014 Acceptance deadline (final notifications)
November 2014 Expected publication date
Important note: The goal of this issue is to make your method accessible to non-expert EEG researchers. In order to make your contribution as much accessible and useful as possible, we would like to recommend the following:
Include a numbered list of steps required to implement your method
Share tips: the simple manipulations that enhance the quality of the data (e.g. normalization, re-referencing, preprocessing steps…)
Share code (e.g. through code repositories like Git, Google code or Sourceforge)
Note also: manuscripts describing known methods with a new look are also encouraged. This means that if you think that your method has already been documented, but you have interesting tips or the current view on the topic has changed significantly over recent years, you are welcome to submit. Please get in contact with us with your submission inquiry.
Finally, we are looking for some really awesome looking visuals for the cover-art of our Special Issue. Please feel free to contribute ideas or send us drafts!
Please feel free to contact us if you have any questions. maximilien.chaumon@gmail.com
Best regards,
Maximilien Chaumon, Sébastien Crouzet & Niko Busch
Guest Editors,
Special Issue on Cutting-edge EEG methods.