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The Neural Circuits Designing and Analysis by the Universal Fuzzy Logical Framework

机译:通用模糊逻辑框架的神经电路设计与分析

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Analytical study or designing of large-scale nonlinear neural circuits, especially for chaotic neural circuits, is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells' dynamical equations. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system, and we proved that if a neural system works in a non-chaotic way, a suitable fuzzy logical framework can be found and we can analyze or design such kind neural system similar to analyze or design a digit computer, but if a neural system works in a chaotic way, a granular approximation is needed for understanding the function of such neural system.
机译:分析研究或大型非线性神经电路的设计,特别是对混沌神经电路,是一项艰巨的任务。在这里,我们通过探测神经细胞动态方程的模糊逻辑框架来分析神经系统的功能。在本文中,使用神经细胞的模糊逻辑框架来了解常见神经系统的非线性动态属性,我们证明,如果神经系统以非混沌方式工作,则可以找到合适的模糊逻辑框架我们可以分析或设计类似于分析或设计数字计算机的这种神经系统,但是如果神经系统以混沌方式工作,则需要粒度近似以理解这种神经系统的功能。

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