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dc.contributor.authorDolzhikova, I.
dc.contributor.authorSalama, Khaled N.
dc.contributor.authorKizheppatt, V.
dc.contributor.authorJames, A.
dc.date.accessioned2019-05-21T12:59:57Z
dc.date.available2019-05-21T12:59:57Z
dc.date.issued2019-02-28
dc.identifier.citationDolzhikova I, Salama K, Kizheppatt V, James A (2018) Memristor-Based Synaptic Sampling Machines. 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO). Available: http://dx.doi.org/10.1109/NANO.2018.8626382.
dc.identifier.doi10.1109/NANO.2018.8626382
dc.identifier.urihttp://hdl.handle.net/10754/652973
dc.description.abstractSynaptic Sampling Machine (SSM) is a type of neural network model that considers biological unreliability of the synapses. We propose the circuit design of the SSM neural network which is realized through the memristive-CMOS crossbar structure with the synaptic sampling cell (SSC) being used as a basic stochastic unit. The increase in the edge computing devices in the Internet of things era, drives the need for hardware acceleration for data processing and computing. The computational considerations of the processing speed and possibility for the real-time realization pushes the synaptic sampling algorithm that demonstrated promising results on software for hardware implementation.
dc.description.sponsorshipWe would like to express special thanks to Rawan Nouz for the initial ideas, technical support and useful discussions on the topic of synaptic sampling. In addition to that, we thank Umesh Chand and ulrich Buttner for guidance and support.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8626382
dc.relation.urlhttp://arxiv.org/pdf/1808.00679
dc.rightsArchived with thanks to IEEE
dc.titleMemristor-Based Synaptic Sampling Machines
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)
dc.conference.date2018-07-23 to 2018-07-26
dc.conference.name18th International Conference on Nanotechnology, NANO 2018
dc.conference.locationCork, IRL
dc.eprint.versionPre-print
dc.contributor.institutionNazarbavev Universitv, Astana, , Kazakhstan
dc.identifier.arxivid1808.00679
kaust.personSalama, Khaled N.
refterms.dateFOA2019-12-11T08:44:28Z
dc.date.published-online2019-02-28
dc.date.published-print2018-07


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