This paper discusses a new variant of spiking neural P systems (in short, SNP systems), spiking neural P systems with extended channel rules (in short, SNP–ECR systems). SNP–ECR systems are a class of distributed parallel computing models. In SNP–ECR systems, a new type of spiking rule is introduced, called ECR. With an ECR, a neuron can send the different numbers of spikes to its subsequent neurons. Therefore, SNP–ECR systems can provide a stronger firing control mechanism compared with SNP systems and the variant with multiple channels. We discuss the Turing universality of SNP–ECR systems. It is proven that SNP–ECR systems as number generating/accepting devices are Turing universal. Moreover, we provide a small universal SNP–ECR system as function computing devices.

中文翻译：

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具有扩展通道规则的脉冲神经 P 系统

本文讨论了脉冲神经 P 系统的新变体（简称 SNP 系统），具有扩展通道规则的脉冲神经 P 系统（简称 SNP-ECR 系统）。SNP-ECR 系统是一类分布式并行计算模型。在 SNP-ECR 系统中，引入了一种新的尖峰规则，称为 ECR。使用 ECR，神经元可以将不同数量的尖峰发送到其后续神经元。因此，与 SNP 系统和具有多通道的变体相比，SNP-ECR 系统可以提供更强的发射控制机制。我们讨论了 SNP-ECR 系统的图灵通用性。事实证明，作为数字生成/接受设备的 SNP-ECR 系统是图灵通用的。此外，我们提供了一个小型通用 SNP-ECR 系统作为功能计算设备。