Parallel Programming in Spiking Neural P Systems with Anti-Spikes

被引：0

作者：

Metta, Venkata Padmavati ^{[1
,2
]}

Krithivasan, Kamala ^{[3
]}

机构：

[1] Silesian Univ Opava, Ctr Excellence, Inst Comp Sci, Opava, Czech Republic

[2] Silesian Univ Opava, IT4Innovations, Ctr Excellence, Res Inst, Opava, Czech Republic

[3] Indian Inst Technol, Madras 600036, Tamil Nadu, India

来源：

ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY | 2014年 / 17卷 / 01期

关键词：

spiking neural P systems with anti-spikes; Occam; simulation;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In spiking neural P systems with anti-spikes, integers can be represented as the number of spikes/anti-spikes present in a neuron. Thus it is possible to represent increment, decrement, relational operations and assignment statements using spiking neural P systems. With these basic structures, it is also possible to represent programming language constructs like conditional, iterative and different types of execution constructs. In this paper we consider a general-purpose parallel programming language that handles integer variables and is implemented using spiking neural P systems with anti-spikes.

引用

页码：33 / 45

页数：13

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