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qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks.

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Title: qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks.
Authors: Li, Silong1, 12032792@mail.sustech.edu.cn, Wang, Ningning1, 12032789@mail.sustech.edu.cn, Kang, Xinyu1, 12232124@mail.sustech.edu.cn, Yu, Chunlin2, chunlinyu@hotmail.com, Ye, Terry Tao1, yet@sustech.edu.cn
Source: Neural Computing & Applications; May2025, Vol. 37 Issue 15, p9011-9024, 14p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1007/s00521-025-11045-4
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks.
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            NameFull: Li, Silong
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            NameFull: Wang, Ningning
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            NameFull: Kang, Xinyu
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              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 37
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