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Hasler et al., 2013 - Google Patents

Finding a roadmap to achieve large neuromorphic hardware systems

Hasler et al., 2013

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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 …
Continue reading at www.frontiersin.org (HTML) (other versions)

Classifications

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    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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