Mechanistic Constitution in Neurobiological Explanations
Mechanistic Constitution in Neurobiological Explanations
复制标题
神经生物学解释中的机制构成
DOI：
10.1080/02698595.2010.522409
复制
发表时间：
2010
影响因子：
0.8
通讯作者：
Jens Harbecke
中科院分区：
文献类型：
--
作者：
Jens Harbecke
本文在神经生物学解释的机械论框架内讨论了构成关系。它发展了一种宪法的规律性理论，作为一种替代宪法的操纵主义理论所主张的一些支持者的机械方法。在对构成的操纵主义解释的主要问题进行回顾之后，基于最小类型关联理论的概念，发展了构成的规则性解释。最小类型关联理论表达了一个给定类型的最小必要条件，它由该类型的最小充分条件的析取组成。最后，将所得到的定义成功地应用于对大鼠空间学习记忆的解释的逻辑结构分析，作为一种范式的神经生物学解释。总的结果是一个更强大和更精确的版本的机械方法的神经生物学解释。
This paper discusses the constitution relation within the framework of the mechanistic approach to neurobiological explanation. It develops a regularity theory of constitution as an alternative to the manipulationist theory of constitution advocated by some of the proponents of the mechanistic approach. After the main problems of the manipulationist account of constitution have been reviewed, the regularity account is developed based on the notion of a minimal type relevance theory. A minimal type relevance theory expresses a minimally necessary condition of a given type that consists of a disjunction of minimally sufficient conditions of that type. Afterwards, the attained definition is successfully applied in an analysis of the logical structure of the explanation of spatial learning and memory in rats as a paradigm neurobiological explanation. The overall result is a more robust and more precise version of the mechanistic approach to neurobiological explanations.