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Center for Nonlinear Studies |
Recently, mathematical methods and concepts of statistical physics have found abundant application across the scientific and technological spectrum from soft condensed matter systems and bio-informatics to economic and social systems. There is also considerable similarity of ideas between statistical physics and computer science, and a complementary symbiosis is forming that takes advantage of the strengths of both. Our work takes advantage of this newly-appreciated connection to address important problems in data transmission and storage, decoding, optimization, the information-processing properties of the brain, the interface between quantum and classical information, verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Particular emphasis:
- Neural computation
- Network theory and applications
- Information theory: A statistical physics approach
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