On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists.
On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists.
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DOI：
10.1111/tops.12504
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发表时间：
2020-10
影响因子：
3
通讯作者：
Bassett DS
中科院分区：
文献类型：
--
作者：
Bertolero MA;Bassett DS
网络神经科学将大脑描述为区域和区域间连接的集合。鉴于其形式化系统级模型的能力，网络神经科学已经产生了对神经功能和行为的独特解释。这些解释的机械论地位，以及它们如何能够对整个神经科学领域做出贡献和适应，已经得到了哲学家们的认真对待。然而，这些哲学贡献还没有达到许多神经科学家。在这里，我们通过提供来自神经科学家的应用视角来补充正式的哲学努力。我们讨论了网络神经科学所提供的解释的机械状态，以及它们如何有助于，增强和与神经科学中其他类型的解释相互交织。在这样做时，我们依赖于有关因果关系，规模和机制在科学解释中的作用的哲学工作。特别是，我们在解释和支持该解释的证据之间进行了区分，我们主张机械解释的无标度性质。在这些讨论的过程中，我们希望提供一个有用的应用框架，在这个框架中，网络神经科学的解释可以跨尺度地进行，并与神经科学的其他领域相结合，以获得对大脑和行为的更深入的了解。论网络科学提供的解释的本质：来自实践神经科学家的观点本文关注神经网络的水平。它认为，网络科学中的工具和模型可以成功地在多个尺度上解释神经和认知现象。在各种例子的基础上，Bertolero和Bassett解释了网络神经科学如何揭示认知现象的神经机制。
Network neuroscience represents the brain as a collection of regions and inter‐regional connections. Given its ability to formalize systems‐level models, network neuroscience has generated unique explanations of neural function and behavior. The mechanistic status of these explanations and how they can contribute to and fit within the field of neuroscience as a whole has received careful treatment from philosophers. However, these philosophical contributions have not yet reached many neuroscientists. Here we complement formal philosophical efforts by providing an applied perspective from and for neuroscientists. We discuss the mechanistic status of the explanations offered by network neuroscience and how they contribute to, enhance, and interdigitate with other types of explanations in neuroscience. In doing so, we rely on philosophical work concerning the role of causality, scale, and mechanisms in scientific explanations. In particular, we make the distinction between an explanation and the evidence supporting that explanation, and we argue for a scale‐free nature of mechanistic explanations. In the course of these discussions, we hope to provide a useful applied framework in which network neuroscience explanations can be exercised across scales and combined with other fields of neuroscience to gain deeper insights into the brain and behavior. On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists This paper focuses on the level of neural networks. It argues that tools and models in network science can successfully bridge explanations of neural and cognitive phenomena at multiple scales. On the basis of various examples, Bertolero and Bassett explain how network neuroscience can uncover aspects the neural mechanisms of cognitive phenomena.
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影响因子：
5.2
作者：
Bassett DS;Khambhati AN
通讯作者：
Khambhati AN
影响因子：
29.9
作者：
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通讯作者：
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作者：
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影响因子：
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作者：
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通讯作者：
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