12
August
2015
|
00:00 AM
Europe/Amsterdam

BrainHub Engineers Receive NSF Grant To Study Neuron Variability and Motor Learning

Grant Is Part of the NSF’s Support of the BRAIN Initiative

Carnegie Mellon University News Release - Posted With Permission

PITTSBURGH (August 12, 2015) ... When we move, we rarely move in the exact same way twice. The National Science Foundation (NSF) has awarded Carnegie Mellon University Assistant Professor of Biomedical Engineering Steven Chase and Associate Professor of Electrical and Computer Engineering and Biomedical Engineering Byron Yu , and their long-time collaborator, University of Pittsburgh Associate Professor of Bioengineering Aaron Batista , an $869,000 grant to conduct basic research that will establish how variability in movement is encoded in the brain and how this variability contributes to learning and performance.

The award is one of 16 NSF grants totaling $13.1 million to support potentially transformative research in neural and cognitive systems. The awards are among the first from the cross-disciplinary NSF Integrative Strategies for Understanding Neural and Cognitive Systems program , which is part of the NSF's support of the federal BRAIN Initiative .

"These teams are building on creative ideas from within and beyond neuroscience," said Kenneth Whang, NSF program director in the Computer & Information Science & Engineering Directorate , which co-funds the awards. "We're seeing some dynamic new research collaborations that will have huge impacts on fundamental questions, and on what we can discover or invent in the future."

The CMU-led team, which is made up of researchers from the university's BrainHub SM initiative and the University of Pittsburgh, will bring together expertise in neuroscience, engineering and computer science to establish a fundamental understanding of neural variability in motor learning.

"Movements are inherently variable. If you threw a dart the exact same way every time, you'd either always get a bulls-eye or never get one," said Chase, who is a member of the joint CMU/University of Pittsburgh Center for the Neural Basis of Cognition . "On the surface, variability seems like it could be a detriment to reliable, short-term performance. But, if we look closer, variability also promotes learning by encouraging us to explore different movements in order to find out the most efficient and effective way to move."

Chase, Yu and Batista will take recordings from neurons in the motor and premotor cortices of an animal model as it performs movement-related tasks. They will use these recordings to establish how variability in neuronal responses exists, with the hopes of establishing connections between variability, performance and learning.

"There is a growing recognition in medicine and basic science of the need to understand and account for differences between individuals. It is the wisdom of the NSF to recognize that individual differences and variability are important but overlooked factors in understanding brain function," Batista said. "Steve Chase, Byron Yu and I have an already-strong collaboration, which has led to multiple publications and training experiences for our students and postdocs. Our collaborations are a direct manifestation of the culture of our two universities. This grant arises directly out of the foundation we have built so far."

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Author: Jocelyn Duffy, Carnegie Mellon University

Contact: Jocelyn Duffy