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
Vishal Saxena's research works University of Delaware, Delaware (UDel UD) and other places
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
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
Vishal Saxena on LinkedIn: Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and…
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 Adaptive STDP-based on-chip spike pattern detection
Frontiers  Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with  circuit- and training-optimized temporal subsampling
Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks - ScienceDirect
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
Frontiers Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling
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