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An Analog Simulation of the Human Neural System The Model Realization The Main Theoric Bases of the Model Realization

机译:人类神经系统的模拟仿真模型实现模型实现的主要理论基础

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The object of this study was to create an elementary electronic circuit which can produce signals that are similar to those produced by intracellular and extra-cellular circuits, a hardware that works autonomously with no need of an external software because it self-creates it. In this paper I describe an artificial, and/or bionic, neural structure formed by the simulation of modular similar analog electronic elements for generating and/or re-establishing correct communication between components of a biological structure, in particular a nervous System. I present a series of data, which derive from a simulation of what becomes a very simple electronic and informative elementary circuit. This circuit is extrapolated from many other circuits, which are supported by one single model and, working together, give coherent answers and are able to help or replace a neuron or a group of neurons. The simulated structure includes a plurality of modular electronic devices interconnected together to form at least one pair of meshes and is able to generate analog electrical signals of various waveforms and various electric powers. I have realized an simulator System as a quasi-Boolean net, but functional only, because the omni-directional reaction to an operative, at a perturbation level action, gives origin to different functionalities in a similar structure, which exists in a non-digital way, or, it might be better to say, which lives in an analog quasi-digital way, with molecular code and decode factors, to which, at present, I approximate in an quasi-complete way. I have obtained an almost perfect correlation between those signals that are generated in nature and those that we have artificially produced. I have demonstrated that, to build a real and working artificial intelligence, or a detail of it, we must preliminarily plan an "inverse-engineering" System that, starting from the biological and not "vice/versa", can, in the meantime, define the "how", hoping it becomes even the "why". The fundamentals ideas that lead to the new electro-informatics model construction are examined either from a theoretical point of view (that is the basis for my researches and which describes the production and the direction bus of the informative signals) and from the point of view of the structure realization.
机译:这项研究的目的是创建一个基本电子电路,该电路可以产生与细胞内和细胞外电路产生的信号相似的信号,这种硬件可以自行创建,因此不需要外部软件就可以自主工作。在本文中,我描述了一种通过模拟类似的类似模拟电子元件形成的人工和/或仿生神经结构,这些模拟电子元件用于在生物结构(尤其是神经系统)的各个组件之间生成和/或重建正确的通讯。我展示了一系列数据,这些数据是通过模拟变成非常简单的电子信息基础电路而得出的。该电路是从许多其他电路中推断出来的,这些电路由一个模型支持,并且可以协同工作,给出一致的答案,并且能够帮助或替换一个神经元或一组神经元。该模拟结构包括互连在一起以形成至少一对网格的多个模块化电子设备,并且能够生成各种波形和各种电功率的模拟电信号。我已经将仿真器系统实现为准布尔网络,但仅具有功能性,因为对操作员的全方向反应在扰动级的作用下,会以相似的结构产生不同的功能,而这种结构以非数字形式存在最好还是说,它以模拟准数字方式存在,具有分子编码和解码因子,目前我以拟完全方式近似。我已经获得了自然界产生的信号和我们人工产生的信号之间的几乎完美的相关性。我已经证明了,要构建一个真实且有效的人工智能或其中的一个细节,我们必须预先计划一个“逆向工程”系统,该系统应从生物学而不是“副/反面”开始,同时可以,定义“如何”,希望它甚至成为“为什么”。从理论的角度(这是我的研究基础,描述了信息信号的产生和方向总线),检验了导致构建新的电子信息学模型的基本原理。的结构实现。

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