Dendrite P systems

TitleDendrite P systems
Publication TypeJournal Papers
Year of Publication2020
AuthorsPeng, H., Bao T., Luo X., Wang J., Song X., Riscos-Núñez A., & Pérez-Jiménez M. J.
Journal TitleNeural Networks
Pages110 - 120

It was recently found that dendrites are not just a passive channel. They can perform mixed computation of analog and digital signals, and therefore can be abstracted as information processors. Moreover, dendrites possess a feedback mechanism. Motivated by these computational and feedback characteristics, this article proposes a new variant of neural-like P systems, dendrite P (DeP) systems, where neurons simulate the computational function of dendrites and perform a firing–storing process instead of the storing–firing process in spiking neural P (SNP) systems. Moreover, the behavior of the neurons is characterized by dendrite rules that are abstracted by two characteristics of dendrites. Different from the usual firing rules in SNP systems, the firing of a dendrite rule is controlled by the states of the corresponding source neurons. Therefore, DeP systems can provide a collaborative control capability for neurons. We discuss the computational power of DeP systems. In particular, it is proven that DeP systems are Turing-universal number generating/accepting devices. Moreover, we construct a small universal DeP system consisting of 115 neurons for computing functions.

KeywordsComputational power, Dendrite P systems, Neural-like P systems, P systems
ISSN Number0893-6080