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A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps
Research article (Sensors, 2021) · cited 22× · AI/ML
A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps
Summary
A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps is a scholarly article[1].
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A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-cost-efficient-high-speed-vlsi-architecture-for-spiking-convolutional-neural-network-inference-using-time-step-binary-