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超越还原论:机制、多领域整合与神经科学的统一

Beyond reduction: mechanisms, multifield integration and the unity of neuroscience.

作者信息

Craver Carl F

机构信息

Department of Philosophy, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, USA.

出版信息

Stud Hist Philos Biol Biomed Sci. 2005 Jun;36(2):373-95. doi: 10.1016/j.shpsc.2005.03.008.

Abstract

Philosophers of neuroscience have traditionally described interfield integration using reduction models. Such models describe formal inferential relations between theories at different levels. I argue against reduction and for a mechanistic model of interfield integration. According to the mechanistic model, different fields integrate their research by adding constraints on a multilevel description of a mechanism. Mechanistic integration may occur at a given level or in the effort to build a theory that oscillates among several levels. I develop this alternative model using a putative exemplar of reduction in contemporary neuroscience: the relationship between the psychological phenomena of learning and memory and the electrophysiological phenomenon known as Long-Term Potentiation. A new look at this historical episode reveals the relative virtues of the mechanistic model over reduction as an account of interfield integration.

摘要

传统上,神经科学哲学家一直使用还原模型来描述跨领域整合。这类模型描述了不同层次理论之间的形式推理关系。我反对还原论,支持一种跨领域整合的机制模型。根据机制模型,不同领域通过对机制的多层次描述添加约束条件来整合它们的研究。机制整合可能发生在给定层次,也可能发生在构建一个在多个层次间转换的理论的过程中。我以当代神经科学中一个假定的还原范例来阐述这个替代模型:学习与记忆的心理现象和被称为长时程增强的电生理现象之间的关系。重新审视这段历史可以发现,作为一种跨领域整合的解释,机制模型相对于还原论具有相对优势。

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