Neuromorphic computing using non-volatile memory

Neuromorphic computing using non-volatile memory

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first review recent advances in the application of NVM devices to three computing paradigms: spiking neural networ...

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Bibliographic Details
Main Authors: Geoffrey W. Burr, Robert M. Shelby, Abu Sebastian, Sangbum Kim, Seyoung Kim, Severin Sidler, Kumar Virwani, Masatoshi Ishii, Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Irem Boybat, Manuel Le Gallo, Kibong Moon, Jiyoo Woo, Hyunsang Hwang, Yusuf Leblebici
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Advances in Physics: X
Subjects:
Neuromorphic computing
non-volatile memory
spiking neural networks
spike-timing-dependent-plasticity
vector–matrix multiplication
NVM-based synapses
NVM-based neurons
Online Access:http://dx.doi.org/10.1080/23746149.2016.1259585

Internet

http://dx.doi.org/10.1080/23746149.2016.1259585

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