摘要翻译:
“心脑相伴”猜想认为,所有的心智属性都源于大脑的物理属性。为了解决精神是否附属于大脑的问题,我们用严格的统计学术语提出了一个附属假说。具体地说,我们提出了一种修正的随附性(称为epsilon-supvenience),它适合于实验研究和统计分析。为了说明这种方法,我们进行了一个思维实验,说明了如何使用模式识别的概率理论来片面地确定ε-附生。在这种分析中使用的大脑物理特性是描述大脑连接性的图(即脑图或连接体)。ε-伴随性使我们能够确定,无论两者之间的关系如何,是否可以从一个人的联结体推断出某种特定的心智属性,使之处于任何给定的正的错误分类率之内。这可能为神经科学家和统计学家之间的跨学科研究提供动力。
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英文标题:
《Are mental properties supervenient on brain properties?》
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作者:
Joshua T. Vogelstein, R. Jacob Vogelstein, Carey E. Priebe
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最新提交年份:
2011
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分类信息:
一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类:Statistics 统计学
二级分类:Applications 应用程序
分类描述:Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学,教育学,流行病学,工程学,环境科学,医学,物理科学,质量控制,社会科学
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英文摘要:
The "mind-brain supervenience" conjecture suggests that all mental properties are derived from the physical properties of the brain. To address the question of whether the mind supervenes on the brain, we frame a supervenience hypothesis in rigorous statistical terms. Specifically, we propose a modified version of supervenience (called epsilon-supervenience) that is amenable to experimental investigation and statistical analysis. To illustrate this approach, we perform a thought experiment that illustrates how the probabilistic theory of pattern recognition can be used to make a one-sided determination of epsilon-supervenience. The physical property of the brain employed in this analysis is the graph describing brain connectivity (i.e., the brain-graph or connectome). epsilon-supervenience allows us to determine whether a particular mental property can be inferred from one's connectome to within any given positive misclassification rate, regardless of the relationship between the two. This may provide motivation for cross-disciplinary research between neuroscientists and statisticians.
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PDF链接:
https://arxiv.org/pdf/0912.1672