Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling.
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DOI: 10.1162/neco_a_01480
Abstract: Recent work on spiking neural networks (SNNs) has focused on achieving deep architectures. They commonly use backpropagation (BP) to train SNNs directly, which allows SNNs to go deeper and achieve higher performance. However, the BP… read more here.
Keywords: spiking neural; global pooling; neural networks; spike probabilistic ... See more keywords