Electroencephalography (EEG) analysis has been an important tool in neural engineering, brain-computer interfaces, and neuroscience, with a variety of clinical and commercial applications. This workshop provides a scientifically and clinically relevant training for the future generation of engineers, neuroscience researchers, and physician scientists. This workshop has a specialized format including leading neuro-engineer and neuroscientists’ talks, hands-on recording session demonstrated by a specialist from a well-established EEG equipment company, and hands-on Brainstorm software training offered by a well-known neuroscientist. It is expected to be of great benefit to students, researchers, and faculty members, who are interested in neural engineering. The workshop will also provide a great hub to foster interactions among scholars, who are conducting research in neuroscience and neural engineering.

Dr. Aina Puce at Indiana University Bloomington, Dr. Abhishek Prasad at University of Miami, and Dr. Jing Xiang at Cincinnati Children’s Hospital and are invited to provide talks. Dr. Puce is a well-known neuroscientist in social cognition, who is an expert using functional magnetic resonance imaging (fMRI) and EEG to explain perceptual processes in brain. Dr. Prasad is a expert in the neuro-engineering, who can introduce the attendees to state-of-art brain machine interfaces applied to patients. Dr. Xiang is a pioneer in clinical application of MEG, who has built the world's first high-frequency MEG database and developed three software packages for MEG analysis.

Brainstorm is an open source toolbox developed in MATLAB for the analysis of neural recordings including magnetoencephalography (MEG), electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), and electrocorticography (ECoG). Dr. Baillet's presentation will offer an overview of Brainstorm and its possible applciations, how to analyze neural signals, especially EEG, which will become the foundation for neural signal processing related projects.

This workshop is supported by University of Kentucky’s Office of the Vice President for Research and Electrical and Computer Engineering Department.