Whole-Brain Parallelism and High-Dimensional Causal-Chain Topological Spectrum Homomorphic Mapping Mechanisms Based on Complex Causal Network Topology

This paper establishes a unified logical architecture spanning systems science and cognitive neuroscience to elucidate the underlying mechanics of whole-brain neural networks based on Status-Relational Entropy (SRE) Dynamics. We posit that cosmic phenomena emerge from the continuous interactions of topological causal networks, where distinct structural clusters share symmetric topological spectrum characteristics. Under homeostatic conditions, the human brain is constrained by the Default Mode Network (DMN) to perform lower-dimensional, serial linear causal computations for localized physical survival. However, under extreme physiological or psychological stress, the DMN undergoes systemic failure, triggering an evolutionary fallback mechanism that shifts the brain into a state of global parallel resonance. In this hyper-parallel receptive state, the brain acts as a high-energy topological receiver, instantly capturing non-local, cross-scale homomorphic alignments within the macro causal web. Furthermore, this framework demonstrates that non-local cognitive synchronization (telepathy) is a deterministic convergence of topological disturbances propagating across homologous causal chains, providing a continuous, materialistic framework that unites micro-neuroelectrical dynamics, macro-causal network topologies, and the anomalies of human consciousness.