Translational Neuroscience for Human-Machine Systems

SpeakerDr. Vernon J. Lawhern, Ph.D.
Organization US Army Research Laboratory
LocationEngineering Building III room 2213
DateFebruary 17, 2017 11:45 AM

Abstract: The past several decades have seen an explosion of meaningful and nuanced insights into the connection between human behavior and the nervous system; however, the translation of these insights into viable applications is a non-trivial and widely acknowledged challenge. Recent advancements in brain-computer interaction and real-world neuroimaging technologies have provided major breakthroughs that provide the underpinnings for translational neuroscience research efforts. In this seminar I will discuss the current state of global neuroscience and present specific projects at ARL that integrate translational neuroscience concepts with neurotechnology development for improved human-machine interaction. Key technical challenges and areas of future research will also be discussed.

Bio: Dr. Vernon Lawhern received his Ph.D. in Statistics from the Florida State University, Tallahassee, FL, in 2011, under the advisement of Wei Wu. There he focused on the development of statistical models of motor cortex neural activity for developing brain-machine interfaces for neuroprosthetic control of artificial limbs. From 2011 to 2014 he was a joint postdoctoral fellow with the University of Texas and the Army Research Laboratory, where he focused on developing machine learning and statistical modeling techniques for EEG signal processing and large scale data analysis. Since 2014 he has been a Mathematical Statistician with the Human Research and Engineering Directorate at the U.S. Army Research Laboratory. His research interests span the areas of statistics, machine learning and neuroscience, and is interested in using these approaches for designing robust neurotechnologies for human-machine interaction.

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