Suppr超能文献

基于超导生物启发的金纳米线神经元。

Superconducting Bio-Inspired Au-Nanowire-Based Neurons.

作者信息

Skryabina Olga V, Schegolev Andrey E, Klenov Nikolay V, Bakurskiy Sergey V, Shishkin Andrey G, Sotnichuk Stepan V, Napolskii Kirill S, Nazhestkin Ivan A, Soloviev Igor I, Kupriyanov Mikhail Yu, Stolyarov Vasily S

机构信息

Institute of Solid State Physics RAS, 142432 Chernogolovka, Russia.

Center for Advanced Mesoscience and Nanotechnology, Moscow Institute of Physics and Technology, 9 Institutskiy per., 141700 Dolgoprudny, Russia.

出版信息

Nanomaterials (Basel). 2022 May 13;12(10):1671. doi: 10.3390/nano12101671.

Abstract

High-performance modeling of neurophysiological processes is an urgent task that requires new approaches to information processing. In this context, two- and three-junction superconducting quantum interferometers with Josephson weak links based on gold nanowires are fabricated and investigated experimentally. The studied cells are proposed for the implementation of bio-inspired neurons-high-performance, energy-efficient, and compact elements of neuromorphic processor. The operation modes of an advanced artificial neuron capable of generating the burst firing activation patterns are explored theoretically. A comparison with the Izhikevich mathematical model of biological neurons is carried out.

摘要

神经生理过程的高性能建模是一项紧迫任务,需要新的信息处理方法。在此背景下,基于金纳米线的具有约瑟夫森弱链接的两结和三结超导量子干涉仪被制造出来并进行了实验研究。所研究的单元被提议用于实现受生物启发的神经元——神经形态处理器的高性能、节能且紧凑的元件。从理论上探索了一种能够产生爆发式放电激活模式的先进人工神经元的运行模式。并与生物神经元的伊兹海克维奇数学模型进行了比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56b1/9147065/39b1cb79709a/nanomaterials-12-01671-g001.jpg

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