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 in Neuroscience

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 in Neuroscience

Materials, Free Full-Text

Frontiers Adaptive STDP-based on-chip spike pattern detection

Vishal Saxena's research works University of Delaware, Delaware (UDel UD) and other places

PDF) Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition

Recursive Threshold Logic—A Bioinspired Reconfigurable Dynamic Logic System With Crossbar Arrays

PDF) Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition

PDF] Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?

PDF] Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

PDF] Spiking Approximations of the MaxPooling Operation in Deep SNNs