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Here we provide evidence that the fundamental basis of nervous communicationis derived from a pressure pulse/soliton capable of computation with sufficienttemporal precision to overcome any processing errors. Signalling and computingwithin the nervous system are complex and different phenomena. Actionpotentials are plastic and this makes the action potential peak aninappropriate fixed point for neural computation, but the action potentialthreshold is suitable for this purpose. Furthermore, neural models timed byspiking neurons operate below the rate necessary to overcome processing error.Using retinal processing as our example, we demonstrate that the contemporarytheory of nerve conduction based on cable theory is inappropriate to accountfor the short computational time necessary for the full functioning of theretina and by implication the rest of the brain. Moreover, cable theory cannotbe instrumental in the propagation of the action potential because at theactivation-threshold there is insufficient charge at the activation site forsuccessive ion channels to be electrostatically opened. Deconstruction of thebrain neural network suggests that it is a member of a group of Quantum phasecomputers of which the Turing machine is the simplest: the brain is anotherbased upon phase ternary computation. However, attempts to use Turing basedmechanisms cannot resolve the coding of the retina or the computation ofintelligence, as the technology of Turing based computers is fundamentallydifferent. We demonstrate that that coding in the brain neural network isquantum based, where the quanta have a temporal variable and a phase-basevariable enabling phase ternary computation as previously demonstrated in theretina.

Does the brain function as a quantum phase computer using phase ternary computation?