Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency

Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency

The ongoing revolution in Deep Learning is redefining the nature of computing that is driven by the increasing amount of pattern classification and cognitive tasks. Specialized digital hardware for deep learning still holds its predominance due to the flexibility offered by the software implementati...

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Bibliographic Details
Main Authors: Vishal Saxena, Xinyu Wu, Ira Srivastava, Kehan Zhu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Journal of Low Power Electronics and Applications
Subjects:
cognitive computing
deep learning
Neuromorphic System-on-a-Chip (NeuSoC)
NVM
RRAM
silicon neurons
spiking neural networks (SNNs)
Online Access:http://www.mdpi.com/2079-9268/8/4/34

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http://www.mdpi.com/2079-9268/8/4/34

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