ROSE：一种神经网络计算结构
ROSE: A Neurocomputational Architecture for Syntax
摘要：
大脑中自然语言处理的综合模型必须包含四个组成部分：表征、操作、结构和编码。它还需要一个原则性的帐户如何这些组成部分的机械，因果关系，相互关联。虽然以前的模型已经隔离了结构构建和词汇访问的感兴趣区域，但在桥接不同尺度的神经复杂性方面仍然存在许多差距。通过扩展神经振荡如何索引各种语言过程的现有帐户，本文提出了一种用于句法的神经计算架构，称为ROSE模型（表示，操作，结构，编码）。在ROSE下，语法的基本数据结构是原子特征、心理表征（R）的类型，并且在单个单元和总体水平上被编码。将这些单元转换为可操作对象的基本计算（O）通过高频伽马活动进行编码，这些对象可供后续结构构建级别访问。递归范畴推理的低频同步和交叉频率耦合码。不同形式的低频耦合和相位-振幅耦合（通过pSTS-IFG的delta-theta耦合;通过IFG到概念中心的theta-gamma耦合）然后将这些结构编码到不同的编码器（E）上。将R与O因果连接是尖峰-相位/LFP耦合;将O与S因果连接是相位-振幅耦合;将S与E因果连接是额时行波振荡系统;将E与较低水平因果连接是尖峰-LFP耦合的低频相位重置。ROSE依赖于神经生理学上合理的机制，在所有四个层次上都得到了一系列最近的实证研究的支持，并为自然语言句法的基本属性提供了解剖学上精确和可证伪的基础：分层的递归结构构建。
英文摘要：
A comprehensive model of natural language processing in the brain must accommodate four components: representations, operations, structures and encoding. It further requires a principled account of how these components mechanistically, and causally, relate to each another. While previous models have isolated regions of interest for structure-building and lexical access, many gaps remain with respect to bridging distinct scales of neural complexity. By expanding existing accounts of how neural oscillations can index various linguistic processes, this article proposes a neurocomputational architecture for syntax, termed the ROSE model (Representation, Operation, Structure, Encoding). Under ROSE, the basic data structures of syntax are atomic features, types of mental representations (R), and are coded at the single-unit and ensemble level. Elementary computations (O) that transform these units into manipulable objects accessible to subsequent structure-building levels are coded via high frequency gamma activity. Low frequency synchronization and cross-frequency coupling code for recursive categorial inferences (S). Distinct forms of low frequency coupling and phase-amplitude coupling (delta-theta coupling via pSTS-IFG; theta-gamma coupling via IFG to conceptual hubs) then encode these structures onto distinct workspaces (E). Causally connecting R to O is spike-phase/LFP coupling; connecting O to S is phase-amplitude coupling; connecting S to E is a system of frontotemporal traveling oscillations; connecting E to lower levels is low-frequency phase resetting of spike-LFP coupling. ROSE is reliant on neurophysiologically plausible mechanisms, is supported at all four levels by a range of recent empirical research, and provides an anatomically precise and falsifiable grounding for the basic property of natural language syntax: hierarchical, recursive structure-building.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
