Two-Phase Bayesian Inference in Open Dissipative Brain-Like Systems Model 4.2

This manuscript proposes a testable research framework for studying two-phase Bayesian inference in open, noisy, brain-like systems. The work does not assume the existence of macroscopic quantum computation in biological tissue. Instead, it investigates whether resonance-assisted dynamics in dissipative systems can produce quantum-like computational advantages without long-lived coherence. The framework integrates variational Bayesian inference, stochastic resonance, and nonlinear feedback mechanisms. Concrete experimental and theoretical pathways are outlined to validate or falsify the proposed mechanisms. This project is now under legal monitoring. All commercial implementations must contact the author.