AI Article Synopsis

  • Devices and systems that interact with the brain are increasingly important, yet often overlooked in engineering curricula.
  • Engineering students can contribute significantly to the development of hardware and signal analysis in this expanding field.
  • Columbia University has created an EEG-based brain-computer interface laboratory course for senior undergraduate and graduate students, emphasizing hands-on learning and essential skills in experimental design, neuroscience, and data analysis.

Article Abstract

Devices and systems that interact with the brain have become a growing field of research and development in recent years. Engineering students are well positioned to contribute to both hardware development and signal analysis techniques in this field. However, this area has been left out of most engineering curricula. We developed an electroencephalography (EEG) based brain computer interface (BCI) laboratory course to educate students through hands-on experiments. The course is offered jointly by the Biomedical Engineering, Electrical Engineering, and Computer Science Departments of Columbia University in the City of New York and is open to senior undergraduate and graduate students. The course provides an effective introduction to the experimental design, neuroscience concepts, data analysis techniques, and technical skills required in the field of BCI.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777329PMC
http://dx.doi.org/10.1109/EMBC.2016.7591363DOI Listing

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