用神经振荡机制解释双语句法迁移，揭示第二语言生成中的错误根源。
Neurocomputational Mechanisms of Syntactic Transfer in Bilingual Sentence Production
- 基于ROSE模型，用神经振荡解释双语句法转移的计算机制。
- 发现第二语言句法规划中特定振荡模式失败导致跨语言影响。
- 为非母语加工提供更复杂时空特征的生物标记物研究新路径。
我们探讨将神经振荡机制纳入双语产出错误研究的优势，其可为双语理论提供新的实现层面约束。我们认为，近期的语言神经模型ROSE能够对双语产出中的句法转移提供神经计算解释，捕捉其部分形式特征及形态句法序列错误的范围。以跨语言影响（CLI）及其相关功能抑制/竞争理论为例，我们提出这些现象由第二语言句法规划阶段的特定振荡失败驱动。这种建模方式不仅符合ROSE模型倡导的关联假设，还支持探索比传统神经信号更复杂的非母语加工生物标记物。
原文摘要 · Abstract (English)
We discuss the benefits of incorporating oscillatory neural mechanisms into the study of bilingual production errors and their traditionally documented timing signatures (e.g., event-related potentials), which can offer new implementational-level constraints for theories of bilingualism. We argue that a recent neural model of language, ROSE, can offer a neurocomputational account of syntactic transfer in bilingual production, capturing some of its formal properties and the scope of morphosyntactic sequencing failure modes. We take as a case study cross-linguistic influence (CLI) and attendant theories of functional inhibition/competition, and present these as being driven by specific oscillatory failure modes during L2 sentence planning. We argue that modeling CLI in this way not only offers the kinds of linking hypotheses ROSE was built to encourage, but also licenses the exploration of more spatiotemporally complex biomarkers of non-native processing than more commonly discussed neural signatures.
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