Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks
Abstract The synaptic plasticity of the Ag‐Ag2S nanoparticle‐based volatile memristor system is demonstrated. The nanoparticles self‐assemble into a network with over 103 interconnected atomic switch interfaces. Short‐term plasticity is identified by spontaneous conductance relaxation, attributed to...
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2024-12-01
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| Series: | Advanced Electronic Materials |
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| Online Access: | https://doi.org/10.1002/aelm.202400360 |
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| author | Oradee Srikimkaew Saman Azhari Deep Banerjee Yuki Usami Hirofumi Tanaka |
| author_facet | Oradee Srikimkaew Saman Azhari Deep Banerjee Yuki Usami Hirofumi Tanaka |
| author_sort | Oradee Srikimkaew |
| collection | DOAJ |
| description | Abstract The synaptic plasticity of the Ag‐Ag2S nanoparticle‐based volatile memristor system is demonstrated. The nanoparticles self‐assemble into a network with over 103 interconnected atomic switch interfaces. Short‐term plasticity is identified by spontaneous conductance relaxation, attributed to the memristor's volatility. The conductance of the network is enhanced when a subsequent stimulus pulse arrives shortly after the previous one, analogous to the paired‐pulse facilitation in biological synapses. Furthermore, repeated pulse stimulation is used to achieve the transition from short‐term plasticity to long‐term potentiation, a process related to learning and memory formation. Remarkably, the result reveals that the lifetime of long‐term potentiation for 100‐pulse stimulation is 40 min, indicating that the device can forget newly acquired information after prolonged storage, akin to human memories. The findings provide insight into the the learning and memory abilities of atomic switch network memristors, facilitating the development of hardware‐implemented artificial neural networks. |
| format | Article |
| id | doaj-art-5f9260047aad404a8663ab38a4d54cb3 |
| institution | Kabale University |
| issn | 2199-160X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Electronic Materials |
| spelling | doaj-art-5f9260047aad404a8663ab38a4d54cb32025-01-09T11:51:13ZengWiley-VCHAdvanced Electronic Materials2199-160X2024-12-011012n/an/a10.1002/aelm.202400360Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch NetworksOradee Srikimkaew0Saman Azhari1Deep Banerjee2Yuki Usami3Hirofumi Tanaka4Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 808‐0196 JapanResearch Center for Neuromorphic AI Hardware Kyushu Institute of Technology (Kyutech) 2–4 Hibikino Wakamatsu Kitakyushu 808‐0196 JapanGraduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 808‐0196 JapanGraduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 808‐0196 JapanGraduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 808‐0196 JapanAbstract The synaptic plasticity of the Ag‐Ag2S nanoparticle‐based volatile memristor system is demonstrated. The nanoparticles self‐assemble into a network with over 103 interconnected atomic switch interfaces. Short‐term plasticity is identified by spontaneous conductance relaxation, attributed to the memristor's volatility. The conductance of the network is enhanced when a subsequent stimulus pulse arrives shortly after the previous one, analogous to the paired‐pulse facilitation in biological synapses. Furthermore, repeated pulse stimulation is used to achieve the transition from short‐term plasticity to long‐term potentiation, a process related to learning and memory formation. Remarkably, the result reveals that the lifetime of long‐term potentiation for 100‐pulse stimulation is 40 min, indicating that the device can forget newly acquired information after prolonged storage, akin to human memories. The findings provide insight into the the learning and memory abilities of atomic switch network memristors, facilitating the development of hardware‐implemented artificial neural networks.https://doi.org/10.1002/aelm.202400360artificial synapseatomic switch networkssilver–silver sulfide nanoparticlessynaptic plasticity |
| spellingShingle | Oradee Srikimkaew Saman Azhari Deep Banerjee Yuki Usami Hirofumi Tanaka Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks Advanced Electronic Materials artificial synapse atomic switch networks silver–silver sulfide nanoparticles synaptic plasticity |
| title | Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks |
| title_full | Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks |
| title_fullStr | Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks |
| title_full_unstemmed | Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks |
| title_short | Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks |
| title_sort | short term and long term memory functionality of a brain like device built from nanoparticle atomic switch networks |
| topic | artificial synapse atomic switch networks silver–silver sulfide nanoparticles synaptic plasticity |
| url | https://doi.org/10.1002/aelm.202400360 |
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