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Nano Lett. 2012 May 9;12(5):2179-86. doi: 10.1021/nl201040y. Epub 2011 Jun 14.

Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.

Author information

1
Center for Integrated Systems, Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. duygu@stanford.edu

Abstract

Brain-inspired computing is an emerging field, which aims to extend the capabilities of information technology beyond digital logic. A compact nanoscale device, emulating biological synapses, is needed as the building block for brain-like computational systems. Here, we report a new nanoscale electronic synapse based on technologically mature phase change materials employed in optical data storage and nonvolatile memory applications. We utilize continuous resistance transitions in phase change materials to mimic the analog nature of biological synapses, enabling the implementation of a synaptic learning rule. We demonstrate different forms of spike-timing-dependent plasticity using the same nanoscale synapse with picojoule level energy consumption.

PMID:
21668029
DOI:
10.1021/nl201040y
[Indexed for MEDLINE]

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