Dendrite P systems.

Clicks: 44
ID: 105027
2020
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Ranked #51 of 55 articles by views in neural networks : the official journal of the international neural network society

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Abstract
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.
Reference Key
peng2020dendriteneural Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Peng, Hong;Bao, Tingting;Luo, Xiaohui;Wang, Jun;Song, Xiaoxiao;Riscos-Núñez, Agustín;Pérez-Jiménez, Mario J;
Journal neural networks : the official journal of the international neural network society
Year 2020
DOI
S0893-6080(20)30134-9
URL
Keywords
computational power dendrite p systems neural-like p systems p systems

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