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.