Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
IEEE Trans Nanobioscience. 2012 Dec;11(4):352-9. doi: 10.1109/TNB.2012.2208122. Epub 2012 Aug 29.
Spiking neural P systems with anti-spikes (ASN P systems, for short) are a variant of spiking neural P systems, which were inspired by inhibitory impulses/spikes or inhibitory synapses. In this work, we consider normal forms of ASN P systems. Specifically, we prove that ASN P systems with pure spiking rules of categories (a, a) and (a, (a)) without forgetting rules are universal as number generating devices. In an ASN P system with spiking rules of categories (a, (a)) and ((a), a) without forgetting rules, the neurons change spikes to anti-spikes or change anti-spikes to spikes; such systems are proved to be universal. We also prove that ASN P systems with inhibitory synapses using pure spiking rules of category (a, a) and forgetting rules are universal. These results answer an open problem and improve a corresponding result from [IJCCC, IV(3), 2009, 273-282].
带反峰的尖峰神经网络 P 系统(简称 ASN P 系统)是尖峰神经网络 P 系统的变体,它受到抑制性冲动/尖峰或抑制性突触的启发。在这项工作中,我们考虑 ASN P 系统的正规形式。具体来说,我们证明了具有纯尖峰规则类别(a,a)和(a,(a))且没有遗忘规则的 ASN P 系统作为生成数字的设备是通用的。在没有遗忘规则的具有尖峰规则类别的(a,(a))和((a),a)的 ASN P 系统中,神经元将尖峰转换为反峰或将反峰转换为尖峰;此类系统被证明是通用的。我们还证明了使用纯尖峰规则类别(a,a)和遗忘规则的具有抑制性突触的 ASN P 系统是通用的。这些结果回答了一个开放性问题,并改进了 [IJCCC,IV(3),2009,273-282] 中的相应结果。