Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation
Abstract Although the energy consumption of reported neuromorphic computing devices inspired by biological systems has become lower than traditional memory, it still remains greater than bio‐synapses (≈10 fJ per spike). Herein, a flexible MoS2‐based heterosynapse is designed with two modulation mode...
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Wiley
2020-04-01
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Series: | Advanced Science |
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Online Access: | https://doi.org/10.1002/advs.201903480 |
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author | Tian‐Yu Wang Jia‐Lin Meng Zhen‐Yu He Lin Chen Hao Zhu Qing‐Qing Sun Shi‐Jin Ding Peng Zhou David Wei Zhang |
author_facet | Tian‐Yu Wang Jia‐Lin Meng Zhen‐Yu He Lin Chen Hao Zhu Qing‐Qing Sun Shi‐Jin Ding Peng Zhou David Wei Zhang |
author_sort | Tian‐Yu Wang |
collection | DOAJ |
description | Abstract Although the energy consumption of reported neuromorphic computing devices inspired by biological systems has become lower than traditional memory, it still remains greater than bio‐synapses (≈10 fJ per spike). Herein, a flexible MoS2‐based heterosynapse is designed with two modulation modes, an electronic mode and a photoexcited mode. A one‐step mechanical exfoliation method on flexible substrate and low‐temperature atomic layer deposition process compatible with flexible electronics are developed for fabricating wearable heterosynapses. With a pre‐spike of 100 ns, the synaptic device exhibits ultralow energy consumption of 18.3 aJ per spike in long‐term potentiation and 28.9 aJ per spike in long‐term depression. The ultrafast speed and ultralow power consumption provide a path for a neuromorphic computing system owning more excellent processing ability than the human brain. By adding optical modulation, a modulatory synapse is constructed to dynamically control correlations between pre‐ and post‐synapses and realize complex global neuromodulations. The novel wearable heterosynapse expands the accessible range of synaptic weights (ratio of facilitation ≈228%), providing an insight into the application of wearable 2D highly efficient neuromorphic computing architectures. |
first_indexed | 2024-12-13T11:06:36Z |
format | Article |
id | doaj.art-5aa25b2905a54e93bce35cb53c38b343 |
institution | Directory Open Access Journal |
issn | 2198-3844 |
language | English |
last_indexed | 2024-12-13T11:06:36Z |
publishDate | 2020-04-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Science |
spelling | doaj.art-5aa25b2905a54e93bce35cb53c38b3432022-12-21T23:48:58ZengWileyAdvanced Science2198-38442020-04-0178n/an/a10.1002/advs.201903480Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic ModulationTian‐Yu Wang0Jia‐Lin Meng1Zhen‐Yu He2Lin Chen3Hao Zhu4Qing‐Qing Sun5Shi‐Jin Ding6Peng Zhou7David Wei Zhang8State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaState Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 ChinaAbstract Although the energy consumption of reported neuromorphic computing devices inspired by biological systems has become lower than traditional memory, it still remains greater than bio‐synapses (≈10 fJ per spike). Herein, a flexible MoS2‐based heterosynapse is designed with two modulation modes, an electronic mode and a photoexcited mode. A one‐step mechanical exfoliation method on flexible substrate and low‐temperature atomic layer deposition process compatible with flexible electronics are developed for fabricating wearable heterosynapses. With a pre‐spike of 100 ns, the synaptic device exhibits ultralow energy consumption of 18.3 aJ per spike in long‐term potentiation and 28.9 aJ per spike in long‐term depression. The ultrafast speed and ultralow power consumption provide a path for a neuromorphic computing system owning more excellent processing ability than the human brain. By adding optical modulation, a modulatory synapse is constructed to dynamically control correlations between pre‐ and post‐synapses and realize complex global neuromodulations. The novel wearable heterosynapse expands the accessible range of synaptic weights (ratio of facilitation ≈228%), providing an insight into the application of wearable 2D highly efficient neuromorphic computing architectures.https://doi.org/10.1002/advs.201903480artificial heterosynapsesneuromorphic computing architecturesphotoelectric synergistic modulationsynaptic deviceswearable electronics |
spellingShingle | Tian‐Yu Wang Jia‐Lin Meng Zhen‐Yu He Lin Chen Hao Zhu Qing‐Qing Sun Shi‐Jin Ding Peng Zhou David Wei Zhang Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation Advanced Science artificial heterosynapses neuromorphic computing architectures photoelectric synergistic modulation synaptic devices wearable electronics |
title | Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation |
title_full | Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation |
title_fullStr | Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation |
title_full_unstemmed | Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation |
title_short | Ultralow Power Wearable Heterosynapse with Photoelectric Synergistic Modulation |
title_sort | ultralow power wearable heterosynapse with photoelectric synergistic modulation |
topic | artificial heterosynapses neuromorphic computing architectures photoelectric synergistic modulation synaptic devices wearable electronics |
url | https://doi.org/10.1002/advs.201903480 |
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