Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications
The integration of near-infrared (NIR) light detection with artificial synaptic devices holds immense potential for advancing neuromorphic vision systems, enabling energy-efficient and high-speed data processing beyond conventional von Neumann architectures. NIR wavelengths provide critical informat...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | JPhys Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7639/adf35a |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850074417792548864 |
|---|---|
| author | Minjun Choi Gwoncheol Choi Seungbeom Lee Tae-Woo Lee Hea-Lim Park |
| author_facet | Minjun Choi Gwoncheol Choi Seungbeom Lee Tae-Woo Lee Hea-Lim Park |
| author_sort | Minjun Choi |
| collection | DOAJ |
| description | The integration of near-infrared (NIR) light detection with artificial synaptic devices holds immense potential for advancing neuromorphic vision systems, enabling energy-efficient and high-speed data processing beyond conventional von Neumann architectures. NIR wavelengths provide critical information that visible light cannot offer owing to its high permeability and low scattering properties. This capability is particularly valuable for night vision, biomedical imaging, and autonomous sensing applications. However, existing artificial visual systems face challenges such as data transfer bottlenecks and high energy consumption, due to the separation of sensors and processors, as well as the need for digital conversion processes. NIR-responsive artificial synapses address these limitations by integrating NIR optical detection with synaptic computation, mimicking biological neural processing to achieve real-time data integration and adaptive learning. This review provides a comprehensive overview of recent advancements in NIR-detectable artificial synapses. We begin by discussing the fundamental biological synaptic properties essential for artificial synapse operation. Next, we explore the NIR-responsive materials employed in artificial synapses and the principles enabling their synaptic properties, with particular attention to device architectures. Additionally, we examine two practical applications including night vision systems and robotic control systems. Finally, we address the remaining challenges facing the field and propose future research directions for the development of this promising technology. |
| format | Article |
| id | doaj-art-d13256f861224bb2b467b023af0786fc |
| institution | DOAJ |
| issn | 2515-7639 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | JPhys Materials |
| spelling | doaj-art-d13256f861224bb2b467b023af0786fc2025-08-20T02:46:35ZengIOP PublishingJPhys Materials2515-76392025-01-018404200110.1088/2515-7639/adf35aNear-infrared-detectable artificial synapses for advanced neuromorphic vision applicationsMinjun Choi0https://orcid.org/0009-0006-8598-2008Gwoncheol Choi1https://orcid.org/0009-0004-8343-7968Seungbeom Lee2https://orcid.org/0009-0000-3182-6612Tae-Woo Lee3https://orcid.org/0000-0002-6449-6725Hea-Lim Park4https://orcid.org/0000-0001-8370-7068Department of Materials Science and Engineering, Seoul National University of Science and Technology , Seoul 01811, Republic of KoreaDepartment of Materials Science and Engineering, Seoul National University of Science and Technology , Seoul 01811, Republic of KoreaDepartment of Materials Science and Engineering, Seoul National University of Science and Technology , Seoul 01811, Republic of KoreaDepartment of Materials Science and Engineering, Seoul National University , Seoul 08826, Republic of Korea; Institute of Engineering Research, Research Institute of Advanced Materials, Soft Foundry, Interdisciplinary Program in Bioengineering, Seoul National University , Seoul 08826, Republic of Korea; SN Display Co. , Ltd., Seoul 08826, Republic of KoreaDepartment of Materials Science and Engineering, Seoul National University of Science and Technology , Seoul 01811, Republic of KoreaThe integration of near-infrared (NIR) light detection with artificial synaptic devices holds immense potential for advancing neuromorphic vision systems, enabling energy-efficient and high-speed data processing beyond conventional von Neumann architectures. NIR wavelengths provide critical information that visible light cannot offer owing to its high permeability and low scattering properties. This capability is particularly valuable for night vision, biomedical imaging, and autonomous sensing applications. However, existing artificial visual systems face challenges such as data transfer bottlenecks and high energy consumption, due to the separation of sensors and processors, as well as the need for digital conversion processes. NIR-responsive artificial synapses address these limitations by integrating NIR optical detection with synaptic computation, mimicking biological neural processing to achieve real-time data integration and adaptive learning. This review provides a comprehensive overview of recent advancements in NIR-detectable artificial synapses. We begin by discussing the fundamental biological synaptic properties essential for artificial synapse operation. Next, we explore the NIR-responsive materials employed in artificial synapses and the principles enabling their synaptic properties, with particular attention to device architectures. Additionally, we examine two practical applications including night vision systems and robotic control systems. Finally, we address the remaining challenges facing the field and propose future research directions for the development of this promising technology.https://doi.org/10.1088/2515-7639/adf35anear-infraredartificial synapsenight visionrobotic controlmotion recognition system |
| spellingShingle | Minjun Choi Gwoncheol Choi Seungbeom Lee Tae-Woo Lee Hea-Lim Park Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications JPhys Materials near-infrared artificial synapse night vision robotic control motion recognition system |
| title | Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications |
| title_full | Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications |
| title_fullStr | Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications |
| title_full_unstemmed | Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications |
| title_short | Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications |
| title_sort | near infrared detectable artificial synapses for advanced neuromorphic vision applications |
| topic | near-infrared artificial synapse night vision robotic control motion recognition system |
| url | https://doi.org/10.1088/2515-7639/adf35a |
| work_keys_str_mv | AT minjunchoi nearinfrareddetectableartificialsynapsesforadvancedneuromorphicvisionapplications AT gwoncheolchoi nearinfrareddetectableartificialsynapsesforadvancedneuromorphicvisionapplications AT seungbeomlee nearinfrareddetectableartificialsynapsesforadvancedneuromorphicvisionapplications AT taewoolee nearinfrareddetectableartificialsynapsesforadvancedneuromorphicvisionapplications AT healimpark nearinfrareddetectableartificialsynapsesforadvancedneuromorphicvisionapplications |