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    Stochastic synaptic plasticity with memristor crossbar arrays

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    Type
    Conference Paper
    Authors
    Naous, Rawan cc
    Al-Shedivat, Maruan cc
    Neftci, Emre
    Cauwenberghs, Gert
    Salama, Khaled N. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-11-01
    Online Publication Date
    2016-11-01
    Print Publication Date
    2016-05
    Permanent link to this record
    http://hdl.handle.net/10754/622606
    
    Metadata
    Show full item record
    Abstract
    Memristive devices have been shown to exhibit slow and stochastic resistive switching behavior under low-voltage, low-current operating conditions. Here we explore such mechanisms to emulate stochastic plasticity in memristor crossbar synapse arrays. Interfaced with integrate-and-fire spiking neurons, the memristive synapse arrays are capable of implementing stochastic forms of spike-timing dependent plasticity which parallel mean-rate models of stochastic learning with binary synapses. We present theory and experiments with spike-based stochastic learning in memristor crossbar arrays, including simplified modeling as well as detailed physical simulation of memristor stochastic resistive switching characteristics due to voltage and current induced filament formation and collapse. © 2016 IEEE.
    Citation
    Naous R, Al-Shedivat M, Neftci E, Cauwenberghs G, Salama KN (2016) Stochastic synaptic plasticity with memristor crossbar arrays. 2016 IEEE International Symposium on Circuits and Systems (ISCAS). Available: http://dx.doi.org/10.1109/ISCAS.2016.7538988.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE International Symposium on Circuits and Systems (ISCAS)
    Conference/Event name
    2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
    DOI
    10.1109/ISCAS.2016.7538988
    Additional Links
    http://ieeexplore.ieee.org/document/7538988/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ISCAS.2016.7538988
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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