Literature DB >> 21668029

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

Duygu Kuzum1, Rakesh G D Jeyasingh, Byoungil Lee, H-S Philip Wong.   

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.

Mesh:

Year:  2011        PMID: 21668029     DOI: 10.1021/nl201040y

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  97 in total

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Review 8.  Neuromorphic Devices for Bionic Sensing and Perception.

Authors:  Mingyue Zeng; Yongli He; Chenxi Zhang; Qing Wan
Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

9.  The chemically driven phase transformation in a memristive abacus capable of calculating decimal fractions.

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Journal:  Sci Rep       Date:  2013-02-06       Impact factor: 4.379

10.  STDP and STDP variations with memristors for spiking neuromorphic learning systems.

Authors:  T Serrano-Gotarredona; T Masquelier; T Prodromakis; G Indiveri; B Linares-Barranco
Journal:  Front Neurosci       Date:  2013-02-18       Impact factor: 4.677

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