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

共 36 条

[1] [Anonymous], 2018, IEEE GLOB COMM CONF
[2] [Anonymous], P 30 INT C MACH LEAR
[3] Stochastic Phase Synchronization of Perpendicularly Magnetized Spin-Torque Oscillators With the Second-Order Uniaxial Anisotropy
Arai, Hiroko
Imamura, Hiroshi
[J]. IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (11)
[4] Localized Triggering of the Insulator-Metal Transition in VO2 Using a Single Carbon Nanotube
Bohaichuk, Stephanie M.
Rojo, Miguel Munoz
Pitner, Gregory
McClellan, Connor J.
Lian, Feifei
Li, Jason
Jeong, Jaewoo
Samant, Mahesh G.
Parkin, Stuart S. P.
Wong, H. -S. Philip
Pop, Eric
[J]. ACS NANO, 2019, 13 (10) : 11070 - 11077
[5] Neuromorphic computing using non-volatile memory
Burr, Geoffrey W.
Shelby, Robert M.
Sebastian, Abu
Kim, Sangbum
Kim, Seyoung
Sidler, Severin
Virwani, Kumar
Ishii, Masatoshi
Narayanan, Pritish
Fumarola, Alessandro
Sanches, Lucas L.
Boybat, Irem
Le Gallo, Manuel
Moon, Kibong
Woo, Jiyoo
Hwang, Hyunsang
Leblebici, Yusuf
[J]. ADVANCES IN PHYSICS-X, 2017, 2 (01): : 89 - 124
[6] Cherniak D, 2017, IEEE RAD FREQ INTEGR, P57, DOI 10.1109/RFIC.2017.7969016
[7] Chuang J, 2017, ISSCC DIG TECH PAP I, P328, DOI 10.1109/ISSCC.2017.7870394
[8] Corti E., 2018, P IEEE INT C REB COM, DOI [10.1109/ICRC.2018.8638626, DOI 10.1109/ICRC.2018.8638626]
[9] Scaled resistively-coupled VO2 oscillators for neuromorphic computing
Corti, Elisabetta
Gotsmann, Bernd
Moselund, Kirsten
Ionescu, Adrian M.
Robertson, John
Karg, Siegfried
[J]. SOLID-STATE ELECTRONICS, 2020, 168 (168)
[10] Hinton G. E., 2012, ar**v preprint ar**v:1207.0580, DOI DOI 10.48550/ARXIV.1207.0580

← 1 2 3 4 →