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

Foundations of Science 18 (4):707-723 (2013)
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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

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William Bechtel
University of California, San Diego

Citations of this work

Getting Over Atomism: Functional Decomposition in Complex Neural Systems.Daniel C. Burnston - 2021 - British Journal for the Philosophy of Science 72 (3):743-772.
Can Mechanistic Explanation Be Reconciled with Scale-Free Constitution and Dynamics?William Bechtel - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 53:84-93.
The Non-Mechanistic Option: Defending Dynamical Explanations.Russell Meyer - 2020 - British Journal for the Philosophy of Science 71 (3):959-985.

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