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Keynote

Brain-Inspired Computing

Massimiliano Versace

Department of Cognitive and Neural Systems, and Center of Excellence for Learning in Education, Science, and Technology, Boston University, Boston, MA 02215

Abstract: At this point in time and in the foreseeable future, convergent advances in neural modeling, neuroinformatics, neuromorphic engineering, materials science, and computer science will enable the study and manufacturing of novel computer architectures. These new architectures are not only promising in helping overcome Moore's law imminent failure, but will also open the door to large-scale neural modeling research and applications. This talk focuses on memristor-based bio-inspired computing devices and models scalable to biological levels. These devices, realized in the context of the DARPA sponsored SyNAPSE (Systems of Neuromorphic Adaptive Plastic Scalable Electronics) project, promise to advance our understanding of how simulated and robotic agents with whole-brain systems learn to interact with their environment, and to create innovative technological applications to impact general-purpose computing and mobile robotics.

Acknowledgments
Supported in part by CELEST, a National Science Foundation Science of Learning Center (NSF SBE-0354378) and Hewlett-Packard Company [under DARPA prime contract HR011-09-3-0001).

References
http://cns.bu.edu/nl/

Bio: Massimiliano Versace (PhD, Cognitive and Neural Systems, Boston University, 2007) is a Senior Research Scientist at the Department of Cognitive and Neural Systems at Boston University, Director of Neuromorphics Lab, and co-Director of Technology Outreach at the NSF Science of Learning Center CELEST: Center of Excellence for Learning in Education, Science, and Technology. He is a co-PI of the Boston University subcontract with Hewlett Packard in the DARPA Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project.

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