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Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks

Research article (Science China Information Sciences, 2020) · cited 28× · AI/ML
academia openalex:W3001074782
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Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks

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Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks is a scholarly article[1].

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  • Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deterministic-conversion-rule-for-cnns-to-efficient-spiking-convolutional-neural-networks
MLA “Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deterministic-conversion-rule-for-cnns-to-efficient-spiking-convolutional-neural-networks.
BibTeX @misc{4ortxyz_deterministic-conversion-rule-for-cnns-to-efficient-spiking-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deterministic conversion rule for CNNs to efficient spiking convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/deterministic-conversion-rule-for-cnns-to-efficient-spiking-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
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