Advanced synaptic devices and their applications in biomimetic sensory neural system
ABSTRACT: Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient approach. Inspired by the ingenious working mechanism of this miraculous biological data processing system, scienti...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
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| Series: | Chip |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2709472322000296 |
| _version_ | 1827374907913142272 |
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| author | Yiqi Sun Jiean Li Sheng Li Yongchang Jiang Enze Wan Jiahan Zhang Yi Shi Lijia Pan |
| author_facet | Yiqi Sun Jiean Li Sheng Li Yongchang Jiang Enze Wan Jiahan Zhang Yi Shi Lijia Pan |
| author_sort | Yiqi Sun |
| collection | DOAJ |
| description | ABSTRACT: Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient approach. Inspired by the ingenious working mechanism of this miraculous biological data processing system, scientists have been devoting great efforts to artificial neural systems based on synaptic devices in recent decades. The continuous development of bioinspired sensors and synaptic devices in recent years have made it possible that artificial sensory neural systems are capable of capturing and processing stimuli information in real time. The progress of biomimetic sensory neural systems could provide new methods for next-generation humanoid robotics, human-machine interfaces, and other frontier applications. Herein, this review summarized the recent progress of synaptic devices and biomimetic sensory neural systems. Additionally, the opportunities and remaining challenges in the further development of biomimetic sensory neural systems were also outlined. |
| first_indexed | 2024-03-08T11:43:00Z |
| format | Article |
| id | doaj.art-f09f2ee114924556bee6c03b3343a6fa |
| institution | Directory Open Access Journal |
| issn | 2709-4723 |
| language | English |
| last_indexed | 2024-03-08T11:43:00Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Chip |
| spelling | doaj.art-f09f2ee114924556bee6c03b3343a6fa2024-01-25T05:24:01ZengElsevierChip2709-47232023-03-0121100031Advanced synaptic devices and their applications in biomimetic sensory neural systemYiqi Sun0Jiean Li1Sheng Li2Yongchang Jiang3Enze Wan4Jiahan Zhang5Yi Shi6Lijia Pan7School of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, ChinaSchool of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, ChinaSchool of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, China; School of Microelectronics and Control Engineering, Changzhou University, 213164, Changzhou, China; Corresponding authors.School of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, ChinaSchool of Computer Science and Engineering, Macau University of Science and TechnologySchool of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, ChinaSchool of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, ChinaSchool of Electronic Science and Engineering, Nanjing University, 210093, Nanjing, China; Corresponding authors.ABSTRACT: Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient approach. Inspired by the ingenious working mechanism of this miraculous biological data processing system, scientists have been devoting great efforts to artificial neural systems based on synaptic devices in recent decades. The continuous development of bioinspired sensors and synaptic devices in recent years have made it possible that artificial sensory neural systems are capable of capturing and processing stimuli information in real time. The progress of biomimetic sensory neural systems could provide new methods for next-generation humanoid robotics, human-machine interfaces, and other frontier applications. Herein, this review summarized the recent progress of synaptic devices and biomimetic sensory neural systems. Additionally, the opportunities and remaining challenges in the further development of biomimetic sensory neural systems were also outlined.http://www.sciencedirect.com/science/article/pii/S2709472322000296Artificial synapseBiomimetic sensory neural systemMemristorSynaptic transistor |
| spellingShingle | Yiqi Sun Jiean Li Sheng Li Yongchang Jiang Enze Wan Jiahan Zhang Yi Shi Lijia Pan Advanced synaptic devices and their applications in biomimetic sensory neural system Chip Artificial synapse Biomimetic sensory neural system Memristor Synaptic transistor |
| title | Advanced synaptic devices and their applications in biomimetic sensory neural system |
| title_full | Advanced synaptic devices and their applications in biomimetic sensory neural system |
| title_fullStr | Advanced synaptic devices and their applications in biomimetic sensory neural system |
| title_full_unstemmed | Advanced synaptic devices and their applications in biomimetic sensory neural system |
| title_short | Advanced synaptic devices and their applications in biomimetic sensory neural system |
| title_sort | advanced synaptic devices and their applications in biomimetic sensory neural system |
| topic | Artificial synapse Biomimetic sensory neural system Memristor Synaptic transistor |
| url | http://www.sciencedirect.com/science/article/pii/S2709472322000296 |
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