経細胞の量子モデルと古典的軸索モデルとの対応

抄録

We proposed the positive hypotheses of neural interferences based on physiological knowledge of neurons, ephapse and those quantum effects as engineering models. We thought the neural interferences of axons and synaptic interactions as ephapse are propagated by polaritons, which were a kind of quasi particles. By expanding method of the classical networks to quantum systems with wave equation and path integrals of polaritons, we could obtain both some tools and descriptions for quantum calculations of arbitrary neural circuits. The most important difference between the common (classical) neural network and quantum one are in with or without of an existence of interferences. And concretely we showed how those quantum methods, whose system contained much interference, were applied to the Bayes’ theory, entropy of information theory, and the two-step neural network as a kind of multi channels.