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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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AIP Publishing
2021
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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. |
first_indexed | 2024-09-23T16:08:27Z |
format | Article |
id | mit-1721.1/130149 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:08:27Z |
publishDate | 2021 |
publisher | AIP Publishing |
record_format | dspace |
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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