Each neuron in the central nervous system is attached to many dendrites, which provide input information through impulses. Assuming that a neuron’s decision to continue or stop firing is made by rules that are applied to the dendrites’ inputs, we associate the neuron activity with a quantum cellular automaton (QCA) concepts. Following a previous paper that relates the QCA description with entangled states, we provide a quantum description of neuron activity. After reviewing the concept of entanglement expressed by QCA terminology, we propose a model that relates a quantum measurement to consciousness. We then present a toy model that reviews the QCA theory with some adaptation to our terminology. The other parts focus on implementing QCA formalism to describe a single neuron activity.

中文翻译：

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QCA和纠缠态作为单神经元活动生成器

中枢神经系统中的每个神经元都附着在许多树突上，这些树突通过脉冲提供输入信息。假设神经元决定继续或停止发射是由适用于树突输入的规则决定的，我们将神经元活动与量子细胞自动机（QCA）概念相关联。在先前的论文将QCA描述与纠缠态相关之后，我们提供了神经元活动的量子描述。在回顾了QCA术语所表达的纠缠概念之后，我们提出了一个将量子测量与意识联系起来的模型。然后，我们提出一个玩具模型，该模型对QCA理论进行了回顾，并适应了我们的术语。其他部分集中于实施QCA形式主义以描述单个神经元活动。