Aug. 21, 2014
FOR IMMEDIATE RELEASE
MEDIA CONTACT: Latarsha Gatlin
Carey Priebe, a noted mathematician in Johns Hopkins University’s Whiting School of Engineering, has been awarded a National Science Foundation EAGER grant for his work exploring the complex behaviors of the brain’s circuitry.
Priebe’s project is one of 36 proposals to receive an Early Concept Grant for Exploratory Research award, a program established to fund and accelerate innovative and potentially transformative research projects involving the brain and how it works. Recipients of the grant receive $300,000 over a two-year period.
Along with neuroscientists from the Howard Hughes Medical Institute’s Janelia Farm Research Campus, Priebe, a professor in the Department of Applied Mathematics and Statistics, will develop statistical pattern recognition methods for understanding how the connectivity of neurons in the brain of fruit fly larvae induces behavior.
The team will create data sets that capture structural connectivity, functional connectivity and induced behavior as well as develop mathematical models and algorithms that measure and provide meaning to the data once collected. The results could shed light on how the nervous system induces behavior.
“We have to understand the three data sets, and their relationships to each other, and tailor the mathematical statistics to the vagaries of the data,” said Priebe. “This will be a process that involves a lot of back and forth between the mathematicians and the neuroscientists.”
Priebe’s EAGER grant proposal builds on a study published this spring in the journal Science in which he and his colleagues identified the brain neurons that result in many kinds of movement made by fruit fly larvae. The team’s research creates the possibility that scientists may be able to build a similar neuron-behavior guide in humans, connecting nerve activation not only with movements, but possibly with emotions and perhaps thoughts.
In that study, the team targeted specific neurons in the nervous systems of more than 1,000 different genetic lines of fruit flies and then stimulated them, recording the behavior that resulted. The behavior was documented by thousands of hours of video, showing how almost 40,000 larvae moved. Priebe, using specially developed software to cull the enormous amount of data, was able to sort it into 29 distinct behaviors.
The research was lauded as “a technical, multidisciplinary tour de force” and will “usher in a new era of integrated methods.” Because of the innovative nature of that study, Priebe was invited by NSF to submit a proposal to continue that line of research.
“The human brain is way too complicated to fully understand anytime soon,” said Priebe. “The fruit fly larvae is much simpler, so let’s start there. By examining fruit fly behavior, perhaps our findings and methodologies will prove beneficial to the eventual understanding of the human brain. But this is a good place to start.”
The NSF EAGER program supports President Obama’s BRAIN Initiative, a multi-agency effort that looks at ways to speed up the development of new neurotechnologies that will ideally help researchers answer fundamental questions about how the brain works.
“Progress towards the goals of The BRAIN Initiative and our comprehension of the brain and behavior requires that scientists and engineers from diverse disciplines work together,” said NSF director France Córdova. “NSF is proud to invest in collaborative, fundamental projects that incubate innovative ideas in this exciting area of inquiry.”
Priebe has a bachelor’s degree in mathematics from Purdue University, a master’s degree in computer science from San Diego State University and a Ph.D. in information technology from George Mason University.
He has been a professor in the Department of Applied Mathematics and Statistics since 1994 and holds joint appointments in the Department of Computer Science, the Department of Electrical and Computer Engineering, the Center for Imaging Science, the Human Language Technology Center of Excellence and the Whitaker Biomedical Engineering Institute.
Priebe is a senior member of the IEEE, a lifetime member of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a Fellow of the American Statistical Association. He’s a past recipient of the American Statistical Association Distinguished Achievement Award, the McDonald Award for Excellence in Mentoring and Advising and in 2008 was named one of six inaugural National Security Science and Engineering Faculty Fellows.