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Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse
Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of synaptic plasticity has shown promising results after the advent of memristors. However, neuronal intrinsic plas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120471/ https://www.ncbi.nlm.nih.gov/pubmed/35589710 http://dx.doi.org/10.1038/s41467-022-30432-2 |
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author | Sung, Sang Hyun Kim, Tae Jin Shin, Hyera Im, Tae Hong Lee, Keon Jae |
author_facet | Sung, Sang Hyun Kim, Tae Jin Shin, Hyera Im, Tae Hong Lee, Keon Jae |
author_sort | Sung, Sang Hyun |
collection | PubMed |
description | Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of synaptic plasticity has shown promising results after the advent of memristors. However, neuronal intrinsic plasticity, which involves in learning process through interactions with synaptic plasticity, has been rarely demonstrated. Synaptic and intrinsic plasticity occur concomitantly in learning process, suggesting the need of the simultaneous implementation. Here, we report a neurosynaptic device that mimics synaptic and intrinsic plasticity concomitantly in a single cell. Threshold switch and phase change memory are merged in threshold switch-phase change memory device. Neuronal intrinsic plasticity is demonstrated based on bottom threshold switch layer, which resembles the modulation of firing frequency in biological neuron. Synaptic plasticity is also introduced through the nonvolatile switching of top phase change layer. Intrinsic and synaptic plasticity are simultaneously emulated in a single cell to establish the positive feedback between them. A positive feedback learning loop which mimics the retraining process in biological system is implemented in threshold switch-phase change memory array for accelerated training. |
format | Online Article Text |
id | pubmed-9120471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91204712022-05-21 Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse Sung, Sang Hyun Kim, Tae Jin Shin, Hyera Im, Tae Hong Lee, Keon Jae Nat Commun Article Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of synaptic plasticity has shown promising results after the advent of memristors. However, neuronal intrinsic plasticity, which involves in learning process through interactions with synaptic plasticity, has been rarely demonstrated. Synaptic and intrinsic plasticity occur concomitantly in learning process, suggesting the need of the simultaneous implementation. Here, we report a neurosynaptic device that mimics synaptic and intrinsic plasticity concomitantly in a single cell. Threshold switch and phase change memory are merged in threshold switch-phase change memory device. Neuronal intrinsic plasticity is demonstrated based on bottom threshold switch layer, which resembles the modulation of firing frequency in biological neuron. Synaptic plasticity is also introduced through the nonvolatile switching of top phase change layer. Intrinsic and synaptic plasticity are simultaneously emulated in a single cell to establish the positive feedback between them. A positive feedback learning loop which mimics the retraining process in biological system is implemented in threshold switch-phase change memory array for accelerated training. Nature Publishing Group UK 2022-05-19 /pmc/articles/PMC9120471/ /pubmed/35589710 http://dx.doi.org/10.1038/s41467-022-30432-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sung, Sang Hyun Kim, Tae Jin Shin, Hyera Im, Tae Hong Lee, Keon Jae Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title | Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title_full | Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title_fullStr | Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title_full_unstemmed | Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title_short | Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
title_sort | simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120471/ https://www.ncbi.nlm.nih.gov/pubmed/35589710 http://dx.doi.org/10.1038/s41467-022-30432-2 |
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