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从理论基础到应用与演示的振荡器计算。

Computing with oscillators from theoretical underpinnings to applications and demonstrators.

作者信息

Todri-Sanial Aida, Delacour Corentin, Abernot Madeleine, Sabo Filip

机构信息

NanoComputing Research Lab, Integrated Circuits, Electrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands.

Department of Microelectronics, LIRMM, University of Montpellier, CNRS, Montpellier, France.

出版信息

Npj Unconv Comput. 2024;1(1):14. doi: 10.1038/s44335-024-00015-z. Epub 2024 Dec 4.

DOI:10.1038/s44335-024-00015-z
PMID:39650119
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11618082/
Abstract

Networks of coupled oscillators have far-reaching implications across various fields, providing insights into a plethora of dynamics. This review offers an in-depth overview of computing with oscillators covering computational capability, synchronization occurrence and mathematical formalism. We discuss numerous circuit design implementations, technology choices and applications from pattern retrieval, combinatorial optimization problems to machine learning algorithms. We also outline perspectives to broaden the applications and mathematical understanding of coupled oscillator dynamics.

摘要

耦合振荡器网络在各个领域都有着深远的影响,为众多动力学现象提供了见解。本综述深入概述了利用振荡器进行计算的相关内容,涵盖计算能力、同步发生以及数学形式主义。我们讨论了众多电路设计实现、技术选择以及从模式检索、组合优化问题到机器学习算法的应用。我们还概述了拓宽耦合振荡器动力学应用和数学理解的观点。

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A Nanoscale Bistable Resistor for an Oscillatory Neural Network.用于振荡神经网络的纳米级双稳态电阻器。
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