Spiking neural P systems with multiple channels

2017 ◽  
Vol 95 ◽  
pp. 66-71 ◽  
Author(s):  
Hong Peng ◽  
Jinyu Yang ◽  
Jun Wang ◽  
Tao Wang ◽  
Zhang Sun ◽  
...  
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

Spiking neural P systems with multiple channels and polarizations

Biosystems ◽  
2019 ◽  
Vol 185 ◽  
pp. 104020
Author(s):  
Qian Yang ◽  
Zeqiong Lv ◽  
Liucheng Liu ◽  
Hong Peng ◽  
Xiaoxiao Song ◽  
...  
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

Spiking Neural P Systems with Extended Channel Rules

2020 ◽  
Vol 31 (01) ◽  
pp. 2050049 ◽  
Author(s):  
Zeqiong Lv ◽  
Tingting Bao ◽  
Nan Zhou ◽  
Hong Peng ◽  
Xiangnian Huang ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Control Mechanism ◽  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems ◽  
Distributed Parallel Computing ◽  
New Variant ◽  
New Type ◽  
Turing Universality ◽  
Computing Models

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.

Small universal asynchronous spiking neural P systems with multiple channels

2020 ◽  
Vol 378 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoxiao Song ◽  
Hong Peng ◽  
Jun Wang ◽  
Guimin Ning ◽  
Zhang Sun
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

Spiking neural P systems with multiple channels and anti-spikes

Biosystems ◽  
2018 ◽  
Vol 169-170 ◽  
pp. 13-19 ◽  
Author(s):  
Xiaoxiao Song ◽  
Jun Wang ◽  
Hong Peng ◽  
Guimin Ning ◽  
Zhang Sun ◽  
...  
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

scholarly journals Asynchronous Spiking Neural P Systems with Multiple Channels and Symbols

2020 ◽  
Vol 39 (5) ◽  
pp. 925-951
Author(s):  
Wenmei Yi ◽  
Zeqiong Lv ◽  
Hong Peng ◽  
Xiaoxiao Song ◽  
Jun Wang
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

On Small Universality of Spiking Neural P Systems with Multiple Channels

2019 ◽  
pp. 229-245 ◽  
Author(s):  
Xiaoxiao Song ◽  
Hong Peng ◽  
Jun Wang ◽  
Guimin Ning ◽  
Tao Wang ◽  
...  
Keyword(s):  
P Systems ◽  
Multiple Channels ◽  
Spiking Neural P Systems

Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback

2021 ◽  
Vol 138 ◽  
pp. 126-139
Author(s):  
Luis Garcia ◽  
Giovanny Sanchez ◽  
Eduardo Vazquez ◽  
Gerardo Avalos ◽  
Esteban Anides ◽  
...  
Keyword(s):  
P Systems ◽  
Spiking Neural P Systems

scholarly journals Novel Numerical Spiking Neural P Systems with a Variable Consumption Strategy

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 549
Author(s):  
Xiu Yin ◽  
Xiyu Liu ◽  
Minghe Sun ◽  
Qianqian Ren
Keyword(s):  
Production Functions ◽  
P Systems ◽  
P System ◽  
Computing Device ◽  
Spiking Neural P Systems ◽  
Distributed Parallel Computing ◽  
Production Values ◽  
Novel Variant ◽  
Turing Universality ◽  
Variable Consumption

A novel variant of NSN P systems, called numerical spiking neural P systems with a variable consumption strategy (NSNVC P systems), is proposed. Like the spiking rules consuming spikes in spiking neural P systems, NSNVC P systems introduce a variable consumption strategy by modifying the form of the production functions used in NSN P systems. Similar to the delay feature of the spiking rules, NSNVC P systems introduce a postponement feature into the production functions. The execution of the production functions in NSNVC P systems is controlled by two, i.e., polarization and threshold, conditions. Multiple synaptic channels are used to transmit the charges and the production values in NSNVC P systems. The proposed NSNVC P systems are a type of distributed parallel computing models with a directed graphical structure. The Turing universality of the proposed NSNVC P systems is proved as number generating/accepting devices. Detailed descriptions are provided for NSNVC P systems as number generating/accepting devices. In addition, a universal NSNVC P system with 66 neurons is constructed as a function computing device.

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