Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays

Resistive random-access memories are promising analog synaptic devices for efficient bio-inspired neuromorphic computing arrays. Here we first describe working principles for phase-change random-access memory, oxide random-access memory, and conductive-bridging random-access memory for artificial sy...

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Main Authors: Scott H. Tan, Peng Lin, Hanwool Yeon, Shinhyun Choi, Yongmo Park, Jeehwan Kim
Format: Article
Language:English
Published: AIP Publishing LLC 2018-12-01
Series:APL Materials
Online Access:http://dx.doi.org/10.1063/1.5049137
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author Scott H. Tan
Peng Lin
Hanwool Yeon
Shinhyun Choi
Yongmo Park
Jeehwan Kim
author_facet Scott H. Tan
Peng Lin
Hanwool Yeon
Shinhyun Choi
Yongmo Park
Jeehwan Kim
author_sort Scott H. Tan
collection DOAJ
description Resistive random-access memories are promising analog synaptic devices for efficient bio-inspired neuromorphic computing arrays. Here we first describe working principles for phase-change random-access memory, oxide random-access memory, and conductive-bridging random-access memory for artificial synapses. These devices could allow for dense and efficient storage of analog synapse connections between CMOS neuron circuits. We also discuss challenges and opportunities for analog synaptic devices toward the goal of realizing passive neuromorphic computing arrays. Finally, we focus on reducing spatial and temporal variations, which is critical to experimentally realize powerful and efficient neuromorphic computing systems.
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spelling doaj.art-d13dd13369ff4c5798dbd342a3d0dea22022-12-22T00:51:51ZengAIP Publishing LLCAPL Materials2166-532X2018-12-01612120901120901-1610.1063/1.5049137002811APMPerspective: Uniform switching of artificial synapses for large-scale neuromorphic arraysScott H. Tan0Peng Lin1Hanwool Yeon2Shinhyun Choi3Yongmo Park4Jeehwan Kim5Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USADepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USAResistive random-access memories are promising analog synaptic devices for efficient bio-inspired neuromorphic computing arrays. Here we first describe working principles for phase-change random-access memory, oxide random-access memory, and conductive-bridging random-access memory for artificial synapses. These devices could allow for dense and efficient storage of analog synapse connections between CMOS neuron circuits. We also discuss challenges and opportunities for analog synaptic devices toward the goal of realizing passive neuromorphic computing arrays. Finally, we focus on reducing spatial and temporal variations, which is critical to experimentally realize powerful and efficient neuromorphic computing systems.http://dx.doi.org/10.1063/1.5049137
spellingShingle Scott H. Tan
Peng Lin
Hanwool Yeon
Shinhyun Choi
Yongmo Park
Jeehwan Kim
Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
APL Materials
title Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
title_full Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
title_fullStr Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
title_full_unstemmed Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
title_short Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
title_sort perspective uniform switching of artificial synapses for large scale neuromorphic arrays
url http://dx.doi.org/10.1063/1.5049137
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AT shinhyunchoi perspectiveuniformswitchingofartificialsynapsesforlargescaleneuromorphicarrays
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