Homogeneous spiking neural P systems with structural plasticity

被引：43

作者：

de la Cruz, Ren Tristan A. ^{[1
]}

Cabarle, Francis George C. ^{[1
]}

Macababayao, Ivan Cedric H. ^{[1
]}

Adorna, Henry N. ^{[1
]}

Zeng, Xiangxiang ^{[2
]}

机构：

[1] Univ Philippines Diliman, Dept Comp Sci, Algorithms & Complex Lab, Quezon City 1101, Philippines

[2] Hunan Univ, Sch Informat Sci & Engn, Changsha 410082, Peoples R China

来源：

JOURNAL OF MEMBRANE COMPUTING | 2021年 / 3卷 / 01期

关键词：

Membrane computing; Spiking neural P systems; Homogeneous neurons; Structural plasticity; ALGORITHM; RULES;

D O I：

10.1007/s41965-020-00067-7

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Spiking neural P system (SNP system) is a model of computation inspired by the mechanism of spiking neurons. An SNP system is a directed graph of neurons that can communicate with each other using an object known as a spike (the object spike represents action potential or nerve impulse). Spiking neural P systems with structural plasticity (SNPSP system) is a variant of the SNP system model. It incorporates the concept of structural plasticity to the SNP system model. SNPSP systems have the ability to add and delete connections between neurons. In SNPSP systems, the behavior of a neuron can be "programmed" by giving it a set of rules. Different set of rules will result in different behaviors. In this work, we show that it is possible to construct a universal SNPSP system where all the neurons in the system use the same set of rules. Such systems are called homogeneous SNPSP systems.

引用

页码：10 / 21

页数：12

共 52 条

[1]

Alhazov A, 2006, LECT NOTES COMPUT SC, V4361, P123

[2]

Cabarle FGC., 2015, P132

[3] Spiking Neural P Systems With Scheduled Synapses [J].

Cabarle, Francis George C. ;

Adorna, Henry N. ;

Jiang, Min ;

Zeng, Xiangxiang .

IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2017, 16 (08) :792-801

[4] Sequential spiking neural P systems with structural plasticity based on max/min spike number [J].

Cabarle, Francis George C. ;

Adorna, Henry N. ;

Perez-Jimenez, Mario J. .

NEURAL COMPUTING & APPLICATIONS, 2016, 27 (05) :1337-1347

[5] Spiking neural P systems with structural plasticity [J].

Cabarle, Francis George C. ;

Adorna, Henry N. ;

Perez-Jimenez, Mario J. ;

Song, Tao .

NEURAL COMPUTING & APPLICATIONS, 2015, 26 (08) :1905-1917

[6] Asynchronous spiking neural P systems [J].

Cavaliere, Matteo ;

Ibarra, Oscar H. ;

Paun, Gheorghe ;

Egecioglu, Omer ;

Ionescu, Mihai ;

Woodworth, Sara .

THEORETICAL COMPUTER SCIENCE, 2009, 410 (24-25) :2352-2364

[7] Spiking neural P systems with extended rules: universality and languages [J].

Haiming Chen ;

Mihai Ionescu ;

Tseren-Onolt Ishdorj ;

Andrei Păun ;

Gheorghe Păun ;

Mario J. Pérez-Jiménez .

Natural Computing, 2008, 7 (2) :147-166

[8] Generating context-free languages using spiking neural P systems with structural plasticity [J].

de la Cruz, Ren Tristan A. ;

Cabarle, Francis George ;

Adorna, Henry N. .

JOURNAL OF MEMBRANE COMPUTING, 2019, 1 (03) :161-177

[9] Membrane computing and image processing: a short survey [J].

Diaz-Pernil, Daniel ;

Gutierrez-Naranjo, Miguel A. ;

Peng, Hong .

JOURNAL OF MEMBRANE COMPUTING, 2019, 1 (01) :58-73

[10] A parallel algorithm for skeletonizing images by using spiking neural P systems [J].

Diaz-Pernil, Daniel ;

Pena-Cantillana, Francisco ;

Gutierrez-Naranjo, Miguel A. .

NEUROCOMPUTING, 2013, 115 :81-91

← 1 2 3 4 5 6 →