August 2016

Conference Paper

DANNA: A Neuromorphic Software Ecosystem

By:
Disney, Adam; Reynolds, John; Schuman, Catherine D; Klibisz, Aleksander; Young, Aaron; Plank, James
Journal Name:
Biologically Inspired Cognitive Architectures
Page Number:
49-56
Volume:
17
Issue Number:
N/A
Publication Date:
August 2016
Conference Name:
Biologically Inspired Cognitive Architectures 2016
Conference Location:
New York City, New York, United States of America
View DOI Listing:
https://doi.org/10.1016/j.bica.2016.07.007

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.