About a model for the control of biological body by magnetic body

The recent work in TGD in attempts to understand various surprising findings (see this and this) about very simple self-organizing systems assuming that they are actually macroscopic quantum systems at the level of magnetic body (MB) leads to a rather concrete model for how MB carrying dark matter identified as h_eff/h=n phases controls the part of system consisting of ordinary matter - biological body (BB) in biological context. The key element is magnetic body (MB) involving flux tube network able to make h_eff=n× h changing phase transition changing its connectivity (the extreme corresponds to phase transition between crystal-like and plasma-like states).

The control is assumed to involve Alfwen waves with the frequencies of cyclotron transitions for the dark matter. Alfwen waves induce resonant forced oscillations of the particles at the nodes of the network. MB adapts to the dynamics of BB by using quantum criticality: if the length L and transversal area S of flux tube are scaled up by n, the ratio L/S is unaffected and the energetics of the system (cyclotron energies and the magnetic energies of the flux tubes ) remains un-affected but frequencies scale by n. By a suitable choice of n system and L/S ratio MB can gain control over BB.

If MB controls basic biological processes at BB then cyclotron frequencies for biologically important ions determine the time scales of basic bio-processes involving various kinds of molecular motors. In communications from BB to MB the difference Δ f_c of cyclotron frequencies of ions associated with cell membrane at different sides of cell membrane and would determine the time scales of these communications. For large enough values of n membrane potential would add a small contribution Δ f = ZeV/h_eff to Δ f_c and code nerve pulse patterns and therefore sensory information to the Josephson radiation.

In the article About a model for the control of biological body by magnetic body this picture is discussed in biological context.

For a summary of earlier postings see Latest progress in TGD.

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