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Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications

Nathaniel C. Cady, Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Ryan Weiss, Sagaryarma Sayyaparaju, Mussabir Adnan, John Murray, Mark Dean, James Plank, Garrett Rose and Joseph Van Nostrand

March, 2018

2018 GOMACTech Conference

https://www.gomactech.net/2018/index.html

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Abstract

Neuromorphic computing systems seek to emulate biological neural functionality emulated in either software or electrical hardware. A key function for such systems is their ability to learn and adapt. In the human brain, such learning and adaptation is achieved via modulation of synaptic connections between different neurons. Memristors (implemented as resistive random access memory or ReRAM) have great potential to provide synaptic functionality for neuromorphic chip architectures. Under an AFRL-sponsored program, we have developed a unique memristor-CMOS hybrid system for implementing a dynamic adaptive neural network array, also known as mrDANNA. Most recently, our effort has moved from a software-based emulator, to FPGA implantation, and finally to the design, tapeout, and fabrication of this unique, adaptive approach to neuromorphic computing.

Citation Information

Text


author      Nathaniel C. Cady and K. Beckmann and W. Olin-Ammentorp and G. Chakma 
            and S. Amer and R. Weiss and S. Sayyaparaju and M. Adnan and J. Murray 
            and M. Dean and J. Plank and G. Rose and J. {Van Nostrand}
title       Full {CMOS}-memristor Implementation of a Dynamic Neuromorphic Architecture
booktitle   2018 GOMACTech Conference
month       March
year        2018
address     Miami

Bibtex


@INPROCEEDINGS{cbo:18:fcm,
    author = "Nathaniel C. Cady and K. Beckmann and W. Olin-Ammentorp and G. Chakma 
                and S. Amer and R. Weiss and S. Sayyaparaju and M. Adnan and J. Murray 
                and M. Dean and J. Plank and G. Rose and J. {Van Nostrand}",
    title = "Full {CMOS}-memristor Implementation of a Dynamic Neuromorphic Architecture",
    booktitle = "2018 GOMACTech Conference",
    month = "March",
    year = "2018",
    address = "Miami"
}