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Wu et al., 2022 - Google Patents

Brain-inspired global-local learning incorporated with neuromorphic computing

Wu et al., 2022

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Document ID
15356209350825161855
Author
Wu Y
Zhao R
Zhu J
Chen F
Xu M
Li G
Song S
Deng L
Wang G
Zheng H
Ma S
Pei J
Zhang Y
Zhao M
Shi L
Publication year
Publication venue
Nature Communications

External Links

Snippet

There are two principle approaches for learning in artificial intelligence: error-driven global learning and neuroscience-oriented local learning. Integrating them into one network may provide complementary learning capabilities for versatile learning scenarios. At the same …
Continue reading at www.nature.com (HTML) (other versions)

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • 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
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
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