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具有反尖峰的尖峰神经网络 P 系统的正规形式。

Normal forms of spiking neural P systems with anti-spikes.

机构信息

Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.

出版信息

IEEE Trans Nanobioscience. 2012 Dec;11(4):352-9. doi: 10.1109/TNB.2012.2208122. Epub 2012 Aug 29.

Abstract

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].

摘要

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。

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