用于图像识别的电阻耦合VO2振荡器

E. Corti, B. Gotsmann, K. Moselund, I. Stolichnov, A. Ionescu, S. Karg
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引用次数: 21

摘要

振荡器网络以其有趣的集体行为而闻名,如频率锁定、相位锁定和同步。与其他人工神经网络实现相比,计算使用的是时序信息而不是幅度信息。我们制作并模拟了耦合V02振荡器的小型网络,并研究了其电学行为。实验和仿真结果表明,耦合振荡器的频率锁定和相位关系可以通过耦合电阻来调节。模式识别在多达9个振荡器(像素)的电阻耦合网络中进行了模拟,证明了使用紧凑的VO2电路实现该任务的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resistive Coupled VO2 Oscillators for Image Recognition
Oscillator networks are known for their interesting collective behavior such as frequency locking, phase locking, and synchronization. Compared to other artificial neural network implementations, timing rather than amplitude information is used for computation. We have fabricated and simulated small networks of coupled V02 oscillators and investigated the electrical behavior. It is demonstrated experimentally and through simulations that the coupled oscillators lock in frequency and the phase relation can be adjusted by the coupling resistance. Pattern recognition was simulated in resistor-coupled networks with up to nine oscillators (pixels), demonstrating the possibility of implementation of this task with compact VO2 circuits.
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