Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
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PDF] Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
PDF] Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
PDF] Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
PDF] ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
PDF) Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
Frontiers in Neuroscience
Frontiers in Neuroscience
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