Plasticity in memristive devices for Spiking Neural Networks

Plasticity in memristive devices for Spiking Neural Networks

Memristive devices present a new device technology allowing for the realization of compact nonvolatile memories. Some of them are already in the process of industrialization. Additionally, they exhibit complex multilevel and plastic behaviors, which make them good candidates for the implementation o...

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Bibliographic Details
Main Authors: Sylvain eSaïghi, Christian G Mayr, Teresa eSerrano-Gotarredona, Heidemarie eSchmidt, Gwendal eLecerf, Jean eTomas, Julie eGrollier, Sören eBoyn, Adrien eVincent, Damien eQuerlioz, Selina eLa Barbera, Fabien eAlibart, Dominique eVuillaume, Olivier eBichler, Christian eGamrat, Bernabe eLinares-Barranco
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-03-01
Series:Frontiers in Neuroscience
Subjects:
plasticity
neuromorphic engineering
Memristor
Memristive device
Hardware neural network
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00051/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00051/full

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