Work

Architecture, constraints, and behavior

Year: 2011

Type: article

Abstract: 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.

Source: Proceedings of the National Academy of Sciences

DOI: 10.1073/pnas.1103557108

Authors: John C. Doyle, Marie Csete

Institutions: California Institute of Technology, University of California San Diego

Language: English

Topic: Complex Systems and Dynamics

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2095849074

FWCI: 9.827

Cites: 59

Cited by: 179

Related to: 10