探索信息传递的离散时空模型:从菌丝网络到宇宙网络的类比。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Tommy Wood , Tuomas Sorakivi , Phil Ayres , Andrew Adamatzky
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引用次数: 0

摘要

真菌菌丝体网络是一个大规模的生物网络,营养物质和代谢物沿着它流动。最近,我们在菌丝网络中发现了丰富的电活动,包括动作电位尖峰和尖峰列车。通过类比动物和植物的电活动,我们推测电活动波在菌丝网络中传递信息。我们使用了一个新的离散时空模型,该模型具有新出现的放射状生成树拓扑结构、假定可比的菌丝形态和物理上可比的信息传递,我们为使用这种模型提供了物理论据,并通过类比宇宙网中不断增长的物质网络来考虑不断增长的菌丝网络,我们建立了数学模型和理论概念,以描述信息传递的参数特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring discrete space–time models for information transfer: Analogies from mycelial networks to the cosmic web

Fungal mycelium networks are large scale biological networks along which nutrients, metabolites flow. Recently, we discovered a rich spectrum of electrical activity in mycelium networks, including action-potential spikes and trains of spikes. Reasoning by analogy with animals and plants, where travelling patterns of electrical activity perform integrative and communicative mechanisms, we speculated that waves of electrical activity transfer information in mycelium networks. Using a new discrete space–time model with emergent radial spanning-tree topology, hypothetically comparable mycelial morphology and physically comparable information transfer, we provide physical arguments for the use of such a model, and by considering growing mycelium network by analogy with growing network of matter in the cosmic web, we develop mathematical models and theoretical concepts to characterise the parameters of the information transfer.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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