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Convergent advances in neural modeling, neuroinformatics, neuromorphic engineering, materials science, and computer science will soon enable the manufacturing and study of novel computer architectures that will not only help overcome Moore's law imminent failure for conventional von Neumann architectures, but will also open the door to large‐scale neural modeling research and applications. This talk focuses on whole‐brain systems models scalable to biological levels. These models 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 that will have disruptive impacts on general‐purpose computing and mobile robotics. Host: Information Science and Technology Center (ISTC), Garrett Kenyon, gkenyon@lanl.gov, 667-1900 |