The Brain as a Bulk-Coupled Topological Transducer: Neural Latency, Metabolic Reset, and Collective Read/Write in MetaTime v45

This preprint develops a more ambitious neurobiological extension of the MetaTime v45 framework, in which the brain is modeled as a bulk-coupled topological transducer operating under finite causal latency and thermodynamic reset constraints. In this approach, neural electrical activity is interpreted as the brane-level projection of a deeper higher-dimensional charge-reassignment dynamics, while refractory behavior and metabolic expenditure are treated as signatures of finite topological relaxation and repeated information erasure.

The manuscript advances three central ideas. First, neural refractory periods are reformulated as the biological manifestation of a finite latency scale τm\tau_mτm, supplementing conventional channel kinetics. Second, the energetic burden of ionic-gradient restoration is interpreted through a Landauer/PCAM lens as the cost of repeated reset of neural informational states. Third, large-scale neuronal phase synchronization is modeled as a collective boundary condition, allowing the brain to function as a phased-array transducer coupled to a bulk-side informational sector. In this formulation, the strongest claims are presented explicitly as falsifiable hypotheses rather than as established neuroscience.

This Zenodo-oriented version preserves the effective biophysical core of the model while embedding it into the broader MetaTime v45 architecture. It includes explicit predictions and kill tests aimed at separating the effective latency framework from the stronger bulk-coupling interpretation.