As David Poeppel and David Embick explain (Poeppel & Embick 2005, Embick & Poeppel 2015), theoretical linguistics and psycho/neurolinguistics generally work with conceptual units of disparate granularity, often assuming that their research programs are mutually independent following rigid interpretations of the classical distinctions between COMPETENCE and PERFORMANCE (Chomsky 1965) or COMPUTATIONAL and ALGORITHMIC/IMPLEMENTATIONAL levels of analysis (Marr 1982).1 Crucially, this conceptual mismatch between disciplines has hindered the development of integrative accounts that fruitfully combine their respective insights. In this book, Elliott Murphy pursues an interesting solution to this cross-disciplinary problem, focusing on the implications of a particular type of brain activity – neural oscillations – for a competence-based model of language aimed at explaining how the brain computes syntactic structures. Culminating Murphy’s ideas developed in earlier publications (see e.g. Murphy 2015, Benítez-Burraco &Murphy 2019), this book represents a thoughtful attempt to integrate two alternative approaches to syntax – theoretical linguistics and neurolinguistics – within the broader context of evolution and cognitive neuroscience. The book begins with an introductory chapter presenting the central concepts from linguistic theory and neural oscillations. Although the proposed model is primarily based on theoretical constructs from mainstream generative linguistics (Merge, Labelling, features, etc.), the explored issues are likely relevant for other linguistic frameworks. This chapter also advances the ambitious goal of affirmatively responding to a fundamental question: is there ‘a neurally implemented computation that builds syntactic structure and does not compute any meaning‘ (Pylkkänen 2019: 64)?According toMurphy, neural oscillations – the OSCILLOME, in

中文翻译：

---

艾略特墨菲，语言的振荡本质。剑桥：剑桥大学出版社，2020 年。十三 + 321。

正如 David Poeppel 和 David Embick 解释的那样（Poeppel & Embick 2005, Embick & Poeppel 2015），理论语言学和心理/神经语言学通常使用不同粒度的概念单元，通常假设他们的研究项目在对经典区别的严格解释之后是相互独立的能力和绩效之间（Chomsky 1965）或分析的计算和算法/实施水平之间（Marr 1982）。1 至关重要的是，学科之间的这种概念上的不匹配阻碍了有效结合各自见解的综合账户的发展。在这本书中，艾略特墨菲为这个跨学科问题寻求一个有趣的解决方案，专注于特定类型的大脑活动（神经振荡）对基于能力的语言模型的影响，旨在解释大脑如何计算句法结构。本书将墨菲在早期出版物中提出的观点（参见墨菲 2015、Benítez-Burraco 和墨菲 2019）达到顶峰，代表了在进化和认知神经科学的更广泛背景下整合两种替代句法方法——理论语言学和神经语言学——的深思熟虑的尝试。本书以介绍性章节开始，介绍了语言理论和神经振荡的核心概念。尽管所提出的模型主要基于主流生成语言学（合并、标签、特征等）的理论构造，所探讨的问题可能与其他语言框架相关。本章还推进了积极响应一个基本问题的雄心勃勃的目标：是否存在“建立句法结构但不计算任何含义的神经实现计算”（Pylkkänen 2019：64）？根据 Murphy 的说法，神经振荡 – OSCILLOME，在