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Architecture, constraints, and behavior
2011
Proceedings of the National Academy of Sciences of the United States of America
This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the new use of robust control, with other relevant conceptual and theoretical frameworks from systems engineering, systems biology, and mathematics. Familiar and accessible case studies are used to illustrate concepts of robustness, organization, and architecture (modularity and protocols) that are central to understanding complex networks. These essential organizational
doi:10.1073/pnas.1103557108
pmid:21788505
pmcid:PMC3176601
fatcat:d3yqzs3oxrbl5e635kvsgcd74a