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Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.13251
Abstract: Pooling operations, essential for neural networks, reduce feature map dimensions while preserving key features and enhancing spatial invariance. Traditional pooling methods often miss the feature maps' alternating currentcomponents. This study introduces a novel global pooling…
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Keywords:
sagp spectral;
attention;
attention based;
spectral attention ... See more keywords
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Published in 2022 at "Neural computation"
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…
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Keywords:
spiking neural;
global pooling;
neural networks;
spike probabilistic ... See more keywords