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Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling

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Last updated 31 março 2025
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
PDF] Spiking Approximations of the MaxPooling Operation in Deep SNNs
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers in Neuroscience
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers in Neuroscience
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
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
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Frontiers in Neuroscience
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
PDF] Spiking Approximations of the MaxPooling Operation in Deep SNNs
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Materials, Free Full-Text
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
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
Recursive Threshold Logic—A Bioinspired Reconfigurable Dynamic Logic System With Crossbar Arrays
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
Vishal Saxena on LinkedIn: Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and…
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