articleNano LettersJun 14, 2011Closed access

Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

Stanford University

PubMed
Indexed incrossrefpubmed

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…

Citation impact

1,252
total citations
FWCI
38.38
Percentile
100%
References
36
Citations per year

Authors

4

Topics & keywords

Keywords
  • Synapse
  • Computer science
  • Phase-change memory
  • Neuromorphic engineering
  • Nanoscopic scale
  • Block (permutation group theory)
  • Energy consumption
  • Nanotechnology
UN Sustainable Development Goals
  • Affordable and clean energy
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