Deep learning in spiking neural networks
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Cites background from "Deep learning in spiking neural net..."
...Based on these similarities, a growing body of work is now establishing formal equivalences between RNNs and networks of spiking leaky integrate-and-fire (LIF) neurons, which are widely used in computational neuroscience [2]–[5]....
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..., category 2) have been reviewed extensively [5], [21]....
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Cites background from "Deep learning in spiking neural net..."
..., 2015) have reached an increasingly mature level, and deep SNNs are one of the most promising concepts for processing such inputs efficiently (Tavanaei et al., 2018)....
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...Furthermore, event-based vision and audio sensors (Lichtsteiner et al., 2008; Posch et al., 2014; Liu et al., 2015) have reached an increasingly mature level, and deep SNNs are one of the most promising concepts for processing such inputs efficiently (Tavanaei et al., 2018)....
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"Deep learning in spiking neural net..." refers background in this paper
...Because of these problems, the research in [216]...
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...the long short-term memory (LSTM) [216]....
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55,235 citations
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...…network has shown outstanding performance in image recognition (Krizhevsky et al., 2012; Oquab, Bottou, Laptev, & Sivic, 2014; Rawat & Wang, 2017; Simonyan & Zisserman, 2014), speech recognition (Abdel -Hamid, Deng, & Yu, 2013; Abdel-Hamid, Mohamed, Jiang, & Penn, 2012; Sainath, Mohamed,…...
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