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: Tan, Scott H. (Scott Howard), Lin, Peng, Yeon, Hanwool, Choi, Shinhyun, Park, Yongmo, Kim, Jeehwan
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: AIP Publishing 2021
Online Access:https://hdl.handle.net/1721.1/130149
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author Tan, Scott H. (Scott Howard)
Lin, Peng
Yeon, Hanwool
Choi, Shinhyun
Park, Yongmo
Kim, Jeehwan
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Tan, Scott H. (Scott Howard)
Lin, Peng
Yeon, Hanwool
Choi, Shinhyun
Park, Yongmo
Kim, Jeehwan
author_sort Tan, Scott H. (Scott Howard)
collection MIT
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 mit-1721.1/1301492022-09-29T18:29:55Z Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays Tan, Scott H. (Scott Howard) Lin, Peng Yeon, Hanwool Choi, Shinhyun Park, Yongmo Kim, Jeehwan Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Department of Materials Science and Engineering 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. 2021-03-16T23:34:44Z 2021-03-16T23:34:44Z 2018-12 2018-07 2020-07-23T19:51:34Z Article http://purl.org/eprint/type/JournalArticle 2166-532X https://hdl.handle.net/1721.1/130149 Tan, Scott H. et al., "Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays." APL Materials 6, 12 (December 2018): 120901 ©2018 Author(s) en https://dx.doi.org/10.1063/1.5049137 APL Materials Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf AIP Publishing American Institute of Physics (AIP)
spellingShingle Tan, Scott H. (Scott Howard)
Lin, Peng
Yeon, Hanwool
Choi, Shinhyun
Park, Yongmo
Kim, Jeehwan
Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
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 https://hdl.handle.net/1721.1/130149
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