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A Boundary between Universality and Non-universality in Extended Spiking Neural P Systems

机译:扩展尖峰神经P系统中通用性与非通用性之间的边界

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摘要

We solve the problem of finding the smallest possible universal spiking neural P system with extended rules. We give a universal spiking neural P system with extended rules and only 4 neurons. This is the smallest possible universal system of its kind. We prove this by showing that the set of problems solved by spiking neural P systems with 3 neurons is bounded above by NL, and so there exists no such universal system with 3 neurons (for any reasonable definition of universality). Finally, we show that if we generalise the output technique we can give a universal spiking neural P system with extended rules that has only 3 neurons. This is also the smallest possible universal system of its kind.
机译:我们解决了寻找具有扩展规则的最小可能的通用加标神经P系统的问题。我们给出了具有扩展规则和仅4个神经元的通用尖峰神经P系统。这是同类产品中最小的通用系统。我们通过证明通过加标3个神经元的神经P系统解决的问题集受NL约束,因此不存在具有3个神经元的通用系统(对于通用性的任何合理定义)。最后,我们证明了,如果对输出技术进行一般化,则可以给出具有只有3个神经元的扩展规则的通用尖峰神经P系统。这也是同类中最小的通用系统。

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