Ga2O3 Bipolar Heterojunction-Based Optoelectronic Synapse Array with Visual Attention
The human brain efficiently processes only a fraction of visual information, a phenomenon termed attentional control, resulting in energy savings and heightened adaptability. Translating this mechanism into artificial visual neurons holds promise for constructing energy-efficient, bioinspired visual systems. Here, we propose a self-rectifying artificial visual neuron (SEVN) based on a NiO/Ga2O3 bipolar heterojunction with attentional control on patterns with a target color. The device exhibits short-term potentiation (STP) with quantum point contact (QPC) traits at low bias and transitions to long-term potentiation (LTP) at high bias, particularly facilitated by electron capture in deep defects upon ultraviolet (UV) exposure. With the utilization of two wavelengths of light upon the target and interference part of CAPTCHA to simulate top-down attentional control, the recognition accuracy is enhanced from 74 to 84%. These findings have the potential to augment the visual capability of neuromorphic systems with implications for diverse applications, including cybersecurity, healthcare, and machine vision.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
The journal of physical chemistry letters - 15(2024), 2 vom: 18. Jan., Seite 556-564 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Xu, Ke [VerfasserIn] |
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| Anmerkungen: |
Date Completed 19.01.2024 Date Revised 19.01.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1021/acs.jpclett.3c02898 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM366887238 |
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| 520 | |a The human brain efficiently processes only a fraction of visual information, a phenomenon termed attentional control, resulting in energy savings and heightened adaptability. Translating this mechanism into artificial visual neurons holds promise for constructing energy-efficient, bioinspired visual systems. Here, we propose a self-rectifying artificial visual neuron (SEVN) based on a NiO/Ga2O3 bipolar heterojunction with attentional control on patterns with a target color. The device exhibits short-term potentiation (STP) with quantum point contact (QPC) traits at low bias and transitions to long-term potentiation (LTP) at high bias, particularly facilitated by electron capture in deep defects upon ultraviolet (UV) exposure. With the utilization of two wavelengths of light upon the target and interference part of CAPTCHA to simulate top-down attentional control, the recognition accuracy is enhanced from 74 to 84%. These findings have the potential to augment the visual capability of neuromorphic systems with implications for diverse applications, including cybersecurity, healthcare, and machine vision | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Peng, Baocheng |e verfasserin |4 aut | |
| 700 | 1 | |a Mao, Huiwu |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Zhengpeng |e verfasserin |4 aut | |
| 700 | 1 | |a Gong, Hehe |e verfasserin |4 aut | |
| 700 | 1 | |a Fu, Chuanyu |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Fang-Fang |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Yi |e verfasserin |4 aut | |
| 700 | 1 | |a Wan, Changjin |e verfasserin |4 aut | |
| 700 | 1 | |a Wan, Qing |e verfasserin |4 aut | |
| 700 | 1 | |a Ye, Jiandong |e verfasserin |4 aut | |
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