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探索用于信息传递的离散时空模型:从菌丝网络到宇宙网络的类比。

Exploring discrete space-time models for information transfer: Analogies from mycelial networks to the cosmic web.

机构信息

Unconventional Computing Lab, UWE, Bristol, UK.

gotIT Oy, Finland.

出版信息

Biosystems. 2024 Sep;243:105278. doi: 10.1016/j.biosystems.2024.105278. Epub 2024 Jul 23.

DOI:10.1016/j.biosystems.2024.105278
PMID:39053645
Abstract

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.

摘要

真菌菌丝体网络是一种大规模的生物网络,营养物质和代谢物沿着这个网络流动。最近,我们在菌丝体网络中发现了丰富的电活动频谱,包括动作电位尖峰和尖峰序列。根据与动物和植物的类比推理,电活动的传播模式执行整合和通信机制,我们推测电活动波在菌丝体网络中传递信息。我们使用具有新兴径向扩展树拓扑的新离散时空模型,假设可比较的菌丝形态和物理上可比的信息传递,为使用这种模型提供了物理论据,并且通过将生长中的菌丝体网络类比为宇宙网络中物质的生长网络,我们开发了数学模型和理论概念来描述信息传递的参数。

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