Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity

A nanoscale, solid‐state physically evolving network is experimentally demonstrated, based on the self‐organization of Ag nanoclusters under an electric field. The adaptive nature of the network is determined by the collective inputs from multiple terminals and allows the emulation of heterosynaptic...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2015-12, Vol.27 (47), p.7720-7727
Main Authors: Yang, Yuchao, Chen, Bing, Lu, Wei D.
Format: Article
Language:English
Subjects:
Evolution
heterosynaptic plasticity
Learning
memristive switching
Monte Carlo simulations
Nanostructure
Networks
neuromorphic computing
physically evolving networks
Plasticity
Switching
Switching theory
Terminals
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Summary:A nanoscale, solid‐state physically evolving network is experimentally demonstrated, based on the self‐organization of Ag nanoclusters under an electric field. The adaptive nature of the network is determined by the collective inputs from multiple terminals and allows the emulation of heterosynaptic plasticity, an important learning rule in biological systems. These effects are universally observed in devices based on different switching materials.
ISSN:0935-9648
1521-4095
DOI:10.1002/adma.201503202