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

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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] 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] 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
Frontiers Review on data-centric brain-inspired computing paradigms exploiting emerging memory devices
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
PDF] Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
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 Adaptive STDP-based on-chip spike pattern detection
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
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware
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
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