Thinking Dynamically About Biological Mechanisms: Networks of Coupled Oscillators [Book Review]

Foundations of Science 18 (4):707-723 (2013)
Abstract
Explaining the complex dynamics exhibited in many biological mechanisms requires extending the recent philosophical treatment of mechanisms that emphasizes sequences of operations. To understand how nonsequentially organized mechanisms will behave, scientists often advance what we call dynamic mechanistic explanations. These begin with a decomposition of the mechanism into component parts and operations, using a variety of laboratory-based strategies. Crucially, the mechanism is then recomposed by means of computational models in which variables or terms in differential equations correspond to properties of its parts and operations. We provide two illustrations drawn from research on circadian rhythms. Once biologists identified some of the components of the molecular mechanism thought to be responsible for circadian rhythms, computational models were used to determine whether the proposed mechanisms could generate sustained oscillations. Modeling has become even more important as researchers have recognized that the oscillations generated in individual neurons are synchronized within networks; we describe models being employed to assess how different possible network architectures could produce the observed synchronized activity
Keywords Dynamic mechanistic explanation  Circadian rhythms  Computational modeling  Endogenously active mechanisms  Mechanistic explanation  Oscillatory mechanisms  Recomposing mechanisms
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References found in this work BETA
William Bechtel (2005). Explanation: A Mechanist Alternative. Studies in History and Philosophy of Biol and Biomed Sci 36 (2):421--441.
Paul Thagard (2003). Pathways to Biomedical Discovery. Philosophy of Science 70 (2):235-254.
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