Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks
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DOI: 10.3389/fnins.2022.857513
Abstract: Spiking neural networks (SNNs) are brain-inspired machine learning algorithms with merits such as biological plausibility and unsupervised learning capability. Previous works have shown that converting Artificial Neural Networks (ANNs) into SNNs is a practical and… read more here.
Keywords: linear leaky; neural networks; integrate fire; spiking neural ... See more keywords