On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity. Although SNNs can be scalably implemented using neuromorphic VLSI, an architecture that can learn using gradient-descent in si...

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Veröffentlicht in:IEEE journal on emerging and selected topics in circuits and systems 2020-12, Vol.10 (4), p.522-535
Hauptverfasser: Payvand, Melika, Fouda, Mohammed E., Kurdahi, Fadi, Eltawil, Ahmed M., Neftci, Emre O.
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Sprache:eng
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