Neurodynamic Cognitive Systems Model: A Mesoscopic Architecture for Real-Time Cognitive Transitions and Regulation

This research introduces the Neurodynamic Cognitive Systems Model (NCSM) — a mesoscopic, biologically grounded architecture for modeling real-time cognitive state transitions. NCSM integrates predictive processing, oscillatory control, and cognitive mode arbitration into a recursive control framework, explaining how the brain preserves coherence under uncertainty. The model formalizes a three-layer system: NPPE (Neurocognitive Predictive Processing Engine) handles generative modeling and error detection DCSM (Dynamic Cognitive Systems Model) organizes cognition into five quasi-stable modes CSTP (Cognitive Synchronization and Transition Protocol) regulates transitions via oscillatory gating and precision-weighted arbitration NCSM produces testable predictions involving theta–gamma coupling, mode transition dynamics, and system breakdown under overload. This architecture serves as a bridge between cognitive neuroscience, clinical modeling (e.g., ADHD, PTSD), and next-generation AI systems, offering both falsifiability and simulation scaffolding. This upload includes the full manuscript, validation logic, simulation pseudocode, and empirical protocols. It is intended as the foundation for an open, collaborative, and self-funded PhD research initiative.