Rewiring Brain OS for Enhanced Processing Speed:  An LMT Approach to Neuroplastic Load Optimization

This paper integrates Load Minimization Theory (LMT) with neuroplasticity to demonstrate how systematic reduction of unnecessary cognitive load can physically rewire brain operating systems, leading to improved effective processing speed. We formalize the relationship between load and processing speed using a dynamical systems model and show that the Respectful Re-Tagging Operator (ℛ) serves as a powerful mechanism for neuroplastic optimization. By decreasing U and F, individuals can liberate cognitive resources (E), resulting in higher real-world processing efficiency while maintaining relational harmony in the AI era.