Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman

March, 2019

Published on arXiv.

https://arxiv.org/abs/1903.10574

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Abstract

In this paper we consider graph algorithms and graphical analysis as a new application for neuromorphic computing platforms. We demonstrate how the nonlinear dynamics of spiking neurons can be used to implement low-level graph operations. Our results are hardware agnostic, and we present multiple versions of routines that can utilize static synapses or require synapse plasticity.

Citation Information

Text

author      K. E. Hamilton and T. M. Mintz and C. D. Schuman
title       Spike-based primitives for graph algorithms
journal     CoRR
volume      abs/1903.10574
year        2019
url         http://arxiv.org/abs/1903.10574
eprint      1903.10574
timestamp   Mon, 01 Apr 2019 14:07:37 +0200

Bibtex

@ARTICLE{hms:19:sbp,
    author = "K. E. Hamilton and T. M. Mintz and C. D. Schuman",
    title = "Spike-based primitives for graph algorithms",
    journal = "CoRR",
    volume = "abs/1903.10574",
    year = "2019",
    url = "http://arxiv.org/abs/1903.10574",
    eprint = "1903.10574",
    timestamp = "Mon, 01 Apr 2019 14:07:37 +0200"
}