The IEEE Brain Initiative eNewsletter is a quarterly online publication launched in January 2017. It features practical and timely information and forward-looking commentary on neurotechnologies and neuroengineering. eNewsletter articles can describe recent breakthroughs in research, primers on methods of interests, or report recent events such as conferences or workshops. You can contact the eNewsletter editor with any questions concerning the topic or content of your article.
eNewsletter articles are practical rather than highly technical in nature – not journal papers – to keep the community up to date on neurotechnology-related issues and developments around the world. The articles should be approximately 800-1200 words in length and can be authored by a mix of IEEE and non-IEEE members. We encourage authors to include 1-2 images or drawings to help illustrate your article, and a maximum of 20 references. Citations should be referenced as number and formatted as follows:  Doe, J. et al. Article title. Journal Name. 2012;32(43):14915-20. DOI: xx.xxx/yyy-zz-zz
Please make sure your opening paragraphs communicate your main message, and convey why that message is relevant or important for readers to appreciate right now. Potential elements of newsletter articles include the following:
- Statement of the challenge/opportunity: gaps, opportunities, and drivers
- Technological innovation/advances with some good simple illustrations. What is the state-of-the-art? What are emerging or pivotal? Why is this novel and important?
- Why is this important and high potential?
- Process/how to get it deployed/implemented
Please submit your manuscript to the eNewsletter managing editor. Submissions should include the author’s bio – approx. 100 words and including details of your IEEE affiliation – and headshot photo. Please also ensure to provide high-resolution files for your images.
Submitted articles are edited and reviewed for acceptance to a specific issue. Final articles, revised if necessary to accommodate reviewers’ comments, are required 4 weeks prior to the planned issue date. The Managing Editor will provide the specific deadline.
Looking forward to your contributions!!! Read the latest issue now.
Ricardo Chavarriaga (IEEE member) is a senior researcher at the Center for Neuroprosthetics of the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He holds a B.Sc. degree in Electronics Engineering from the Pontificia Universidad Javeriana Cali, Colombia and a PhD in computational neuroscience from EPFL. He co-chairs the IEEE SMC technical committee in BMI systems, and is part of the steering committee of the IEEE Brain Initiative.
His research focuses on robust brain-machine interfaces and multimodal human-machine interaction. Specifically, the decoding of cortical potentials that convey information about the user’s cognitive processes. Furthermore, He investigates on how the exploitation of such processes can be integrated with shared control principles and hybrid approaches for BMI control of complex devices.