Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

被引：39

作者：

Corti, E. ^{[1
]}

Khanna, A. ^{[2
]}

Niang, K. ^{[3
]}

Robertson, J. ^{[3
]}

Moselund, K. E. ^{[1
]}

Gotsmann, B. ^{[1
]}

Datta, S. ^{[2
]}

Karg, S. ^{[1
]}

机构：

[1] IBM Res Zurich, Dept Sci & Technol, CH-8803 Ruschlikon, Switzerland

[2] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA

[3] Univ Cambridge, Dept Elect Engn, Cambridge CB3 0FA, England

来源：

IEEE ELECTRON DEVICE LETTERS | 2020年 / 41卷 / 04期

关键词：

Associative memory; oscillatory neural networks; phase change; relaxation oscillators; VO2;

D O I：

10.1109/LED.2020.2972006

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Oscillatory neural networks based on insulator to metal transition of VO2 switches are implemented for image recognition. The VO2 oscillators are fabricated on silicon in a CMOS compatible process. A fully-connected network of coupled oscillators is investigated using programmable resistors as coupling elements. In this approach, input of the image information and data processing is performed in the time domain. In particular, tuning the coupling resistors allows to control the phase-relation between the oscillators. This is used to memorize and recognize patterns in an analog circuit. The concept is demonstrated experimentally on a three-VO2 oscillator network, whereas simulations are performed on a larger 9-oscillators circuit.

引用

页码：629 / 632

页数：4

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