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牛脑微管薄膜中的电行为和进化计算。

Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules.

机构信息

Department of Engineering, Durham University, South Road, Durham, DH1 3LE, UK.

Laboratorio de Canales Iónicos, Instituto Multidisciplinario de Salud, Tecnología Y Desarrollo (IMSaTeD, CONICET-UNSE), Villa El Zanjón, 4206, Santiago del Estero, Argentina.

出版信息

Sci Rep. 2021 May 24;11(1):10776. doi: 10.1038/s41598-021-90260-0.

Abstract

We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injection of space-charge from the metallic electrode(s). The MTs are thought to form a complex electrical network, which can be manipulated with an applied voltage. This feature has been exploited to undertake some experiments on the use of the MT mesh as a medium for computation. We show that it is possible to evolve MT films into binary classifiers following an evolution in materio approach. The accuracy of the system is, on average, similar to that of early carbon nanotube classifiers developed using the same methodology.

摘要

我们报告了牛脑微管(MTs)薄膜的电学行为。对于干燥和水合状态下的样品,测量电流显示出与施加的直流电压的幂律关系。我们将其归因于来自金属电极的空间电荷注入。微管被认为形成了一个复杂的电网络,可以通过施加电压来操纵。这一特性已被用于利用 MT 网作为计算介质进行一些实验。我们表明,通过 materio 方法的进化,可以将 MT 薄膜演变成二进制分类器。该系统的平均准确性与使用相同方法开发的早期碳纳米管分类器相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0976/8144580/50ca29b5c114/41598_2021_90260_Fig1_HTML.jpg

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