Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett Rose and Joseph Van Nostran

July, 2019

ICONS: International Conference on Neuromorphic Systems

https://doi.org/10.1145/3354265.3354271

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Abstract

In neuromorphic applications, resistive memory solutions (implemented as Resistive Random Access Memory or ReRAM) have significant potential in emulating the desired two-terminal synaptic functionality of real synapses. One of the unique features for the demonstrated ReRAM devices includes conductance modulation, which allows for the implementation of the synaptic weight between neuronal elements. In this paper, we illustrate the multi-resistance level switching capabilities of our unique ReRAM-CMOS hybrid system, which is a demonstration vehicle for implementation of a memristive Dynamic Adaptive Neural Network Array, also known as mrDANNA. Discrete resistance levels have been achieved through application of varying gate voltage and discrete electric pulses in the order of nanoseconds.

Citation Information

Text

author     M. Liehr and J. Hazra and K. Beckmann and W. Olin-Ammentorp and
           N. C. Cady and R. Weiss and S. Sayyaparaju and G. S. Rose and J.{Van Nostrand}
title      Fabrication and Performance of Hybrid {ReRAM-CMOS} Circuit Elements 
           for Dynamic Neural Networks
booktitle  International Conference on Neuromorphic Computing Systems (ICONS)
publisher  ACM
month      July
year       2019
url        https://doi.org/10.1145/3354265.3354271
doi        10.1145/3354265.3354271

Bibtex

@INPROCEEDINGS{lhb:19:fph,
    title = "Fabrication and Performance of Hybrid {ReRAM-CMOS} Circuit Elements 
                for Dynamic Neural Networks",
    author = "M. Liehr and J. Hazra and K. Beckmann and W. Olin-Ammentorp and
                N. C. Cady and R. Weiss and S. Sayyaparaju and G. S. Rose and J.{Van Nostrand}",
    booktitle = "International Conference on Neuromorphic Computing Systems (ICONS)",
    publisher = "ACM",
    month = "July",
    year = "2019",
    url = "https://doi.org/10.1145/3354265.3354271",
    doi = "10.1145/3354265.3354271"
}