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Titlebook: Biological Robustness; Emerging Perspective Marta Bertolaso,Silvia Caianiello,Emanuele Serrell Book 2018 Springer Nature Switzerland AG 201

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期刊全称Biological Robustness
期刊简称Emerging Perspective
影响因子2023Marta Bertolaso,Silvia Caianiello,Emanuele Serrell
视频videohttp://file.papertrans.cn/188/187461/187461.mp4
发行地址Reviews examples and notions of robustness at specific levels of biological organization.Grounds general reflections upon concrete case studies.Addresses core issues with clear and accessible language
学科分类History, Philosophy and Theory of the Life Sciences
图书封面Titlebook: Biological Robustness; Emerging Perspective Marta Bertolaso,Silvia Caianiello,Emanuele Serrell Book 2018 Springer Nature Switzerland AG 201
影响因子.This volume reviews examples and notions of robustness at several levels of biological organization. It tackles many philosophical and conceptual issues and casts an outlook on the future challenges of robustness studies in the context of a practice-oriented philosophy of science. The focus of discussion is on concrete case studies. These highlight the necessity of a level-dependent description of robust biological behaviors.Experts from the neurosciences, biochemistry, ecology, biology, and the history and the philosophy of life sciences provide a multiplex perspective on the topic. Contributions span from protein folding, to cell-level robustness, to organismal and developmental robustness, to sensorimotor systems, up to the robustness of ecological systems.Several chapters detail neurobiological case-studies. The brain, the poster child of plasticity in biology, offers multiple examples of robustness. Neurobiology explores the importance of temporal organization and multiscalarity in making this robustness-with-plasticity possible. The discussion also includes structures well beyond the brain, such as muscles and the complex feedback loops involved in the peculiar robustness of
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Multiple Realization and Robustness,ciences. In this paper, I argue that there are good reasons to move beyond this framing. I begin by showing how the traditional framing is tied to positivist models of explanation and reduction and proceed to develop an alternate framing that operates instead within causal explanatory frameworks. I
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Robustness: The Explanatory Picture,sual concepts in evolutionary biology, such as plasticity or dominance, it has been questioned from the viewpoint of its consequences upon evolution as well as from the side of its causes, on an ultimate or proximate viewpoint. It is therefore equally the explanandum for some enquiries in evolution
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The Robustness/Sensitivity Paradox: An Essay on the Importance of Phase Separation,onnected by (co-expression, physical interactions) is a very natural way of reasoning. Network approach allows scientist to make sense of the intricacies of biological regulation and, for the same mathematical nature of graphs, to obtain a multilevel description linking single node and whole network
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Can Engineering Principles Help Us Understand Nervous System Robustness?,our. Robust and reliable function is therefore non-trivial to achieve and requires a number of dynamic mechanisms and design principles that are the subject of current research in neuroscience. A striking feature of these principles is that they resemble engineering solutions, albeit at a greater le
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The Robustness of Musical Language: A Perspective from Complex Systems Theory,metabolic pathways, morphogenesis, and ecosystems. All these systems involve either man-made machines, or living organisms. In this chapter, we will consider music as a peculiar complex system, involving both the realm of machines (the musical instrument) and the realm of biology (the player and the
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