Hasler et al., 2013 - Google Patents
Finding a roadmap to achieve large neuromorphic hardware systemsHasler et al., 2013
View HTML- Document ID
- 6750420295559929391
- Author
- Hasler J
- Marr B
- Publication year
- Publication venue
- Frontiers in neuroscience
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Snippet
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techniques are reaching physical limits. These silicon systems mimic extremely energy efficient neural computing structures, potentially both for solving engineering …
- 238000000034 method 0 abstract description 66
Classifications
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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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