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A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems

Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, and Sung Kyu Lim

September, 2018

31sh IEEE International System-on-Chip Conference (SOCC)

https://ieeexplore.ieee.org/abstract/document/8618553

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Abstract

Neuromorphic systems consist of a framework of spiking neurons interconnected via plastic synaptic junctures. The discovery of a two terminal passive nanoscale memristive device has spurred great interest in the realization of memristive plastic synapses in neural networks. In this work, a synapse structure is presented that utilizes a pair of memristors, to implement both positive and negative weights. The working scheme of this synapse as an electrical interlink between neurons is explained, and the relative timing of their spiking events is analyzed, which leads to a modulation of the synaptic weight in accordance with the spike-timing-dependent plasticity (STDP) rule. A digital pulse width modulation technique is proposed to achieve these variable changes to the synaptic weight. The synapse architecture presented is shown to have high accuracy when used in neural networks for classification tasks. Lastly, the energy requirement of the system during various phases of operation is presented.

Citation Information

Text


author      M. M. Adnan and S. Sayyaparaju and G. S. Rose and C. D. Schuman and 
            B. W. Ku and S. K. Lim
title       A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems
booktitle   31sh IEEE International System-on-Chip Conference (SOCC)
month       September
year        2018
url         https://ieeexplore.ieee.org/abstract/document/8618553
doi         10.1109/SOCC.2018.8618553

Bibtex


@INPROCEEDINGS{asr:18:tms,
    author = "M. M. Adnan and S. Sayyaparaju and G. S. Rose and C. D. Schuman and
            B. W. Ku and S. K. Lim",
    title = "A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems",
    booktitle = "31sh IEEE International System-on-Chip Conference (SOCC)",
    month = "September",
    year = "2018",
    url = "https://ieeexplore.ieee.org/abstract/document/8618553",
    doi = "10.1109/SOCC.2018.8618553"
}