摘要 / Abstract 中文摘要: 作者此前提出了非冯·诺依曼架构的四层级分类谱系,将物理计算、量子计算和生物计算定位为第四层级——计算本体的原生实现。本文将该谱系应用于一个此前未被严格分析的极限案例:人脑与脑机接口的混合系统。分析表明,这种混合体不是一个均质的计算系统,而是第四层级的生物计算基质与第一至三层级的电子接口之间的跨范式耦合。本文提出"范式错配"这一分析概念来诊断这种耦合的核心张力:当前脑机接口的性能瓶颈,可能并非仅仅源于电极密度或信号处理能力的不足,而是源于它试图用第一层级"指令集仍是绝对核心"的逻辑,去连接第四层级"物理演化即计算"的系统。本文基于物理计算框架[1]的四层级谱系,将非冯谱系应用于人机混合系统这一此前未分析的极限案例。本文的核心贡献在于发现并定义了"范式错配"这一跨范式耦合的诊断概念,而非提出工程方案。 English Abstract: The author previously proposed a four-level taxonomy of non-von Neumann architectures, positioning physical computing, quantum computing, and biological computing as Level 4 — the native implementation of computation. This paper applies this taxonomy to a previously unexamined limit case: the brain-machine hybrid system. The analysis reveals that this hybrid is not a homogeneous computing system, but a cross-paradigm coupling between Level 4 biological computing substrates and Level 1-3 electronic interfaces. We introduce paradigm mismatch as an analytical concept to diagnose the core tension: current brain-computer interface performance bottlenecks may arise not merely from insufficient electrode density or signal processing capacity, but from attempting to connect a Level 4 system ("physical evolution is computation") using Level 1 logic ("instruction set is absolute core"). This paper applies the four-level spectrum to the brain-machine hybrid as an unexamined limit case, extending the explanatory boundary of the non-von Neumann framework. Its core contribution is the identification and definition of paradigm mismatch as a diagnostic concept, rather than the proposal of an engineering solution.