Wednesday, 27 March 2019

Spike-based primitives for graph algorithms. (arXiv:1903.10574v1 [cs.NE])

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.



from cs updates on arXiv.org https://ift.tt/2Uk8Vkh
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