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Architecture, constraints, and behavior

Doyle, John C. and Csete, Marie (2011) Architecture, constraints, and behavior. Proceedings of the National Academy of Sciences of the United States of America, 108 (S3). pp. 15624-15630. ISSN 0027-8424. PMCID PMC3176601.

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This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the 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 features are hidden during normal function of a system but are fundamental for understanding the nature, design, and function of complex biologic and technologic systems.

Item Type:Article
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URLURL TypeDescription DOIArticle CentralArticle
Doyle, John C.0000-0002-1828-2486
Additional Information:© 2011 National Academy of Sciences. Edited by Donald W. Pfaff, The Rockefeller University, New York, NY, and approved June 10, 2011 (received for review March 3, 2011). Published online before print July 25, 2011. We thank Mike Gazzaniga and Scott Grafton for helpful discussions and feedback. This work was partially supported by the National Science Foundation, the National Institutes of Health, the Air Force Office of Scientific Research, and the Institute of Collaborative Biotechnologies (Army Research Office W911NF-09-D-0001). This paper results from the Arthur M. Sackler Colloquium of the National Academy of Sciences, “Quantification of Behavior” held June 11–13, 2010, at the AAAS Building in Washington, DC. The complete program and audio files of most presentations are available on the NAS Web site at Author contributions: J.C.D. and M.C. wrote the paper.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Army Research Office (ARO)W911NF-09-D-0001
Subject Keywords:complexity
Issue or Number:S3
PubMed Central ID:PMC3176601
Record Number:CaltechAUTHORS:20111003-134717951
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25526
Deposited By: Tony Diaz
Deposited On:06 Oct 2011 15:33
Last Modified:26 Nov 2019 11:15

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