Computational and formal modeling study demonstrates typed causal tracking of mobile immune signals, suggesting receiver-relative timing improves body-brain communication mapping.
# Mobile Immune Signals as a Body-Brain Communication Network Mobile immune cells do not navigate, signal, or change brain state through one generic channel. They sample local chemical and mechanical conditions, respond according to receptor and intracellular state, participate in multicellular relays, interact with neural and neuropeptide routes, cross or signal through specialized interfaces, and help change the conditions sampled next. This paper develops a typed causal architecture that keeps those routes, receivers, delays, interventions, and endpoints distinct. The paper then asks a narrower Self-Aware Networks question: whether receiver-relative timing or spectral information can improve prediction after established chemical gradients, immune relays, and neural signals have been measured. It specifies staged wound-navigation and body-brain experiments, matched interventions and rescues, adverse outcomes, competing route families, and explicit refusal conditions. An executable synthetic reference application tests whether known route generators can be recovered under controlled changes. A development-only estimator recovered 344 of 400 single-origin cases and 376 of 470 origin sets, while refusing all declared mixture-to-singleton compressions and all weak-phase and correlated-field certificates. Fourteen finite propositions about route order, refusal precedence, and certificate composition were checked in Lean without admitted proofs. These are synthetic and formal results within declared models; they are not biological or clinical validation. This is a preprint and has not undergone peer review.
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Micah Blumberg (2026) studied this question.
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