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A Neuromorphic FTJ Model-Driven Design of Charge-Domain Synaptic Circuits and Spiking Neural Networks

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Title: A Neuromorphic FTJ Model-Driven Design of Charge-Domain Synaptic Circuits and Spiking Neural Networks
Authors: Zhu, Xiaobao, Feng, Ning, Liu, Hengyi, Ji, Ning, Zhang, Lining, Wang, Runsheng, Huang, Ru
Source: 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) Electron Devices Technology & Manufacturing Conference (EDTM), 2024 8th IEEE. :1-3 Mar, 2024
Relation: 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)
Database: IEEE Xplore Digital Library
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  Data: 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) Electron Devices Technology & Manufacturing Conference (EDTM), 2024 8th IEEE. :1-3 Mar, 2024
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  Data: 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/EDTM58488.2024.10511574
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        PageCount: 3
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      – TitleFull: A Neuromorphic FTJ Model-Driven Design of Charge-Domain Synaptic Circuits and Spiking Neural Networks
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      – PersonEntity:
          Name:
            NameFull: Zhu, Xiaobao
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            NameFull: Feng, Ning
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            NameFull: Liu, Hengyi
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            NameFull: Ji, Ning
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            NameFull: Zhang, Lining
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            NameFull: Wang, Runsheng
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            NameFull: Huang, Ru
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          Dates:
            – D: 03
              M: 03
              Type: published
              Y: 2024
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            – TitleFull: 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Electron Devices Technology & Manufacturing Conference (EDTM), 2024 8th IEEE
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