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Article
Computer Science, Artificial Intelligence
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin et al.
Summary: Spiking neural networks show promise as biologically plausible and efficient models for neural computation, achieving state-of-the-art performance in challenging time domain benchmarks. The use of sparse and binary communication between neurons enables powerful and energy-efficient networks.
NATURE MACHINE INTELLIGENCE (2021)
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