Adam Disney, John Reynolds, Catherine D. Schuman, Aleksander Klibisz, Aaron Young, and James S. Plank

July, 2016

Biologically Inspired Cognitive Architectures, Volume 9.

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Abstract

Architectures for neuromorphic computing have evolved to the point where a significant amount of software design and implementation is necessary for leveraging these architectures to solve real problems. In this paper, we describe the software ecosystem for the DANNA neuromorphic computing model. This ecosystem is composed of four pieces: a simulator, commander, evolutionary optimizer, and visualizer. The ecosystem facilitates developing applications for DANNA, and in turn will help DANNA evolve into a more effective neuromorphic computing model. We describe how we use the software components to perform digit classification using the MNIST dataset.

Citation Information

Text

.article        drc:16:dns
author          A. Disney and J. Reynolds and C. D. Schuman and A. Klibisz and
                A. Young and J. S. Plank
title           DANNA: A Neuromorphic Software Ecosystem
journal         Biologically Inspired Cognitive Architectures
volume          9
publisher       Elsevier
month           July
year            2016
where           http://www.sciencedirect.com/science/article/pii/S2212683X16300408
pages           49-56

Bibtex

@ARTICLE{drc:16:dns,
    author = "A. Disney and J. Reynolds and C. D. Schuman and A. Klibisz and
                A. Young and J. S. Plank",
    title = "{DANNA}: A Neuromorphic Software Ecosystem",
    journal = "Biologically Inspired Cognitive Architectures",
    volume = "9",
    publisher = "Elsevier",
    month = "July",
    year = "2016",
    pages = "49-56",
    where = "http://www.sciencedirect.com/science/article/pii/S2212683X16300408"
}