Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J.Douglas Birdwell, and Catherine D. Schuman

July, 2016

International Joint Conference on Neural Networks, part of the IEEE World Congress on Computational Intelligence, Vancouver, Canada.

http://www.wcci2016.org/

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Abstract

Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic computing systems developed as a hardware based approach to the implementation of neural networks. They feature highly adaptive and programmable structural elements, which model artificial neural networks with spiking behavior. We design them to solve problems using evolutionary optimization. In this paper, we highlight the current hardware and software implementations of DANNA, including their features, functionalities and performance. We then describe the development of an Application Development Platform (ADP) to support efficient application implementation and testing of DANNA based solutions. We conclude with future directions.

Citation Information

Text

author     M. E. Dean and J. Chan and C. Daffron and A. Disney and
           J. Reynolds and G. S. Rose and J. S. Plank and
           J.D. Birdwell and C. D. Schuman
title      An Application Development Platform for Neuromorphic Computing
booktitle  International Joint Conference on Neural Networks
where      http://www.wcci2016.org/
year       2016
month      July
address    Vancouver

Bibtex

@INPROCEEDINGS{dcd:16:aaf,
  author = "M. E. Dean and J. Chan and C. Daffron and A. Disney
      and J. Reynolds and G. S. Rose and J. S. Plank and
      J.D. Birdwell and C. D. Schuman",
  title = "An Application Development Platform for Neuromorphic Computing",
  booktitle = "International Joint Conference on Neural Networks",
  where = "http://www.wcci2016.org/",
  year = "2016",
  month = "July",
  address = "Vancouver"
}