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Zenke et al., 2020 - Google Patents

Brain-inspired learning on neuromorphic substrates

Zenke et al., 2020

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Document ID
5543612353620084041
Author
Zenke F
Neftci E
Publication year
Publication venue
arXiv preprint arXiv:2010.11931

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Snippet

Neuromorphic hardware strives to emulate brain-like neural networks and thus holds the promise for scalable, low-power information processing on temporal data streams. Yet, to solve real-world problems, these networks need to be trained. However, training on …
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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • 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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