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Relating Transition P Systems and Spiking Neural P Systems (Extended Abstract)

机译:转型P系统和尖峰神经P系统(扩展摘要)

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In this work we provide a relationship between Transition P systems with noncooperative rules or nTP systems and Spiking Neural P systems with weighted synapses or wSNP systems. In particular we define a reasonable operating mode of nTP systems we refer to as krestricted object-minimal region-maximal parallelism or k-O_(min), R_(max) mode. We show that there exists a simulation of nTP systems operating in 1-O_(min), R_(max) mode with wSNP systems.
机译:在这项工作中,我们提供了具有非自由度规则或NTP系统的转换P系统与具有加权突触或WSNP系统的神经P系统之间的关系。特别是我们定义了一个合理的NTP系统操作模式,我们将其称为kRestrice对象 - 最小区域 - 最大并行性或k-o_(min),r_(max)模式。我们表明,使用WSNP系统,在1-O_(min),r_(max)模式下运行的NTP系统模拟。

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