Spiking Deep Residual Networks.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3119238
Abstract: Spiking neural networks (SNNs) have received significant attention for their biological plausibility. SNNs theoretically have at least the same computational power as traditional artificial neural networks (ANNs). They possess the potential of achieving energy-efficient machine… read more here.
Keywords: resnet; performance; residual networks; neural networks ... See more keywords
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.953368
Abstract: Brain-inspired spiking neural networks (SNNs) are successfully applied to many pattern recognition domains. The SNNs-based deep structure has achieved considerable results in perceptual tasks, such as image classification and target detection. However, applying deep SNNs… read more here.
Keywords: problem; spiking deep; potential based; deep networks ... See more keywords