Optimization of Spiking Neural Networks Based on Binary Streamed Rate Coding

Spiking neural networks (SNN) increasingly attract attention for their similarity to the biological neural system. Hardware implementation of spiking neural networks, however, remains a great challenge due to their excessive complexity and circuit size. This work introduces a novel optimization meth...

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Bibliografiset tiedot
Päätekijät: Ali A. Al-Hamid, HyungWon Kim
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2020-09-01
Sarja:Electronics
Aiheet:
Spiking Neural Network (SNN)
Spike Rate Coding
MNIST dataset
weight quantization
SNN hardware
Linkit:https://www.mdpi.com/2079-9292/9/10/1599
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