Spike-based primitives for graph algorithms

March 25, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman arXiv ID 1903.10574 Category cs.NE: Neural & Evolutionary Cross-listed cond-mat.dis-nn Citations 20 Venue arXiv.org Last Checked 4 months ago
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.
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