具有多通道和反脉冲的脉冲神经P系统
Spiking neural P systems with multiple channels and anti-spikes.
作者信息
Song Xiaoxiao, Wang Jun, Peng Hong, Ning Guimin, Sun Zhang, Wang Tao, Yang Fan
机构信息
School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, PR China; Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, PR China.
School of Computer and Software Engineering, Xihua University, Chengdu 610039, PR China.
出版信息
Biosystems. 2018 Jul;169-170:13-19. doi: 10.1016/j.biosystems.2018.05.004. Epub 2018 May 24.
Spiking neural P systems (SN P systems) with multiple channels are a variant of SN P systems presented recently. By introducing anti-spikes in neurons, SN P systems with multiple channels and anti-spikes are constructed in this work, where both spikes and anti-spikes are used in rules with channel labels. The Turing universality as number generating and accepting devices is proved at first, and then a universal SN P systems with multiple channels and anti-spikes for computing functions is investigated. At last, a small universal system using 65 neurons for computing any Turing computable function is given.
具有多通道的脉冲神经 P 系统（SN P 系统）是最近提出的 SN P 系统的一种变体。通过在神经元中引入反脉冲，本文构建了具有多通道和反脉冲的 SN P 系统，其中脉冲和反脉冲都用于带有通道标签的规则中。首先证明了其作为数字生成和接受装置的图灵通用性，然后研究了用于计算函数的具有多通道和反脉冲的通用 SN P 系统。最后给出了一个使用 65 个神经元来计算任何图灵可计算函数的小型通用系统。
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