Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina
Abstract Neuroprosthetics equipped with artificial synapses hold promise to address some most intricate medical problems, such as human sensory disorders. Yet, it is necessitated and of paramount importance for neuroprosthetics to be able to differentiate significant and insignificant signals. Here,...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55173-2 |
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| author | Seongchan Kim Ohchan Kwon Seonkwon Kim Seonmin Jang Seungho Yu Choong Hoo Lee Yoon Young Choi Soo Young Cho Ki Chul Kim Cunjiang Yu Dae Woo Kim Jeong Ho Cho |
| author_facet | Seongchan Kim Ohchan Kwon Seonkwon Kim Seonmin Jang Seungho Yu Choong Hoo Lee Yoon Young Choi Soo Young Cho Ki Chul Kim Cunjiang Yu Dae Woo Kim Jeong Ho Cho |
| author_sort | Seongchan Kim |
| collection | DOAJ |
| description | Abstract Neuroprosthetics equipped with artificial synapses hold promise to address some most intricate medical problems, such as human sensory disorders. Yet, it is necessitated and of paramount importance for neuroprosthetics to be able to differentiate significant and insignificant signals. Here, we present an information-filterable artificial retina system that integrates artificial synapses with a signal-integration device for signal perception and processing with attention. The synaptic weight modulation is rendered through metal–organic framework (MOF) layers, where distinct short-term and long-term properties are predominantly determined by MOF’s pore diameter and functionality. Specifically, four types of isoreticular Zr-based MOFs that share Zr6O4(OH)4 secondary building units have been systematically examined. It is demonstrated that small pore diameters enhance short-term properties, while large pores, which are characterized by increased ion affinity, sustain long-term properties. Moreover, we demonstrated a 6 × 6 pixel artificial retina by incorporating both short-term and long-term artificial synapses with a signal-integration device. Signal summation by the signal-integration device enables attention-based information processing. The information-filterable artificial retina system developed here emulates human perception processes and holds promise in the fields of neuroprosthetics and advanced artificial intelligence. |
| format | Article |
| id | doaj-art-8d25ece4cf394d2daa5b318300314e39 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-8d25ece4cf394d2daa5b318300314e392025-01-05T12:38:16ZengNature PortfolioNature Communications2041-17232025-01-0116111010.1038/s41467-024-55173-2Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retinaSeongchan Kim0Ohchan Kwon1Seonkwon Kim2Seonmin Jang3Seungho Yu4Choong Hoo Lee5Yoon Young Choi6Soo Young Cho7Ki Chul Kim8Cunjiang Yu9Dae Woo Kim10Jeong Ho Cho11Department of Electrical and Systems Engineering, University of PennsylvaniaDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University ParkDepartment of Chemical Engineering, Konkuk UniversityDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityDepartment of Mechanical Science and Engineering, University of Illinois, Urbana-ChampaignDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityDepartment of Chemical Engineering, Konkuk UniversityDepartment of Mechanical Science and Engineering, University of Illinois, Urbana-ChampaignDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityDepartment of Chemical and Biomolecular Engineering, Yonsei UniversityAbstract Neuroprosthetics equipped with artificial synapses hold promise to address some most intricate medical problems, such as human sensory disorders. Yet, it is necessitated and of paramount importance for neuroprosthetics to be able to differentiate significant and insignificant signals. Here, we present an information-filterable artificial retina system that integrates artificial synapses with a signal-integration device for signal perception and processing with attention. The synaptic weight modulation is rendered through metal–organic framework (MOF) layers, where distinct short-term and long-term properties are predominantly determined by MOF’s pore diameter and functionality. Specifically, four types of isoreticular Zr-based MOFs that share Zr6O4(OH)4 secondary building units have been systematically examined. It is demonstrated that small pore diameters enhance short-term properties, while large pores, which are characterized by increased ion affinity, sustain long-term properties. Moreover, we demonstrated a 6 × 6 pixel artificial retina by incorporating both short-term and long-term artificial synapses with a signal-integration device. Signal summation by the signal-integration device enables attention-based information processing. The information-filterable artificial retina system developed here emulates human perception processes and holds promise in the fields of neuroprosthetics and advanced artificial intelligence.https://doi.org/10.1038/s41467-024-55173-2 |
| spellingShingle | Seongchan Kim Ohchan Kwon Seonkwon Kim Seonmin Jang Seungho Yu Choong Hoo Lee Yoon Young Choi Soo Young Cho Ki Chul Kim Cunjiang Yu Dae Woo Kim Jeong Ho Cho Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina Nature Communications |
| title | Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina |
| title_full | Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina |
| title_fullStr | Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina |
| title_full_unstemmed | Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina |
| title_short | Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina |
| title_sort | modulating synaptic plasticity with metal organic framework for information filterable artificial retina |
| url | https://doi.org/10.1038/s41467-024-55173-2 |
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