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Xu et al., 2023 - Google Patents

Enhancing adaptive history reserving by spiking convolutional block attention module in recurrent neural networks

Xu et al., 2023

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Document ID
14061384144497329880
Author
Xu Q
Gao Y
Shen J
Li Y
Ran X
Tang H
Pan G
Publication year
Publication venue
Advances in Neural Information Processing Systems

External Links

Snippet

Spiking neural networks (SNNs) serve as one type of efficient model to process spatio- temporal patterns in time series, such as the Address-Event Representation data collected from Dynamic Vision Sensor (DVS). Although convolutional SNNs have achieved …
Continue reading at proceedings.neurips.cc (PDF) (other versions)

Classifications

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    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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