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Neuroscience-Inspired Dynamic Architectures

Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean

April, 2014

Annual Biomedical Science and Engineering Center Conference (BSEC), Oak Ridge National Laboratory.

https://web.ornl.gov/bsec_conferences/2014/

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Abstract

Neuroscience-inspired computational elements and architectures are one of the most popular ideas for replacing the von Neumann architecture. In this work, we propose a neuroscience-inspired dynamic architecture (NIDA) and discuss a method for automatically designing NIDA networks to accomplish tasks. We discuss the reasons we chose evolutionary optimization as the main design method and propose future directions for the work.

Citation Information

Text


author       C. D. Schuman and J. D. Birdwell and M. E. Dean
title        Neuroscience-Inspired Dynamic Architectures
booktitle    Biomedical Science and Engineering Center Conference (BSEC), 
             Oak Ridge National Laboratory
month        April
year         2014

Bibtex


@INPROCEEDINGS{sbd:14:nida,
  author = "C. D. Schuman and J. D. Birdwell and M. E. Dean",
  title = "Neuroscience-Inspired Dynamic Architectures",
  booktitle = "Biomedical Science and Engineering Center Conference (BSEC), 
               Oak Ridge National Laboratory",
  month = "April",
  year = "2014"
}