Spiking neural P systems with multiple channels and polarizations

Autor: Qian Yang, Hong Peng, Liucheng Liu, Xiaoxiao Song, Zeqiong Lv, Jun Wang
Rok vydání: 2019
Předmět:
Zdroj: Biosystems. 185:104020
ISSN: 0303-2647
Popis: In this paper, we investigate a new variant of spiking neural P systems (SNP systems, in short), called spiking neural P systems with multiple channels and polarizations (SNP-MCP systems, in short). The variant integrates two interesting features: multiple channel and polarization. Each neuron can use its multiple channels to connect one or more subsequent sets of neurons. Moreover, both polarizations and regular expressions are used in rules to control the spiking of neurons. The computational power of the variant is discussed. The Turing universality of the variant as number generating/accepting devices is proven, and then a small universal system with 150 neurons is constructed to compute any Turing computable function.
Databáze: OpenAIRE