Spike propagation path planning on IBM TrueNorth neurosynaptic system

K. D. Fischl, K. Fair, W. Y. Tsai, John Morgan Sampson, A. G. Andreou

Research output: Contribution to journalArticle

Abstract

The authors report on the implementation of a path planning algorithm on the TrueNorth neurosynaptic system. Their implementation exploits processing in the temporal domain within the architectural constraints of the TrueNorth chip to deduce the optimal path. The optimal path is computed on the TrueNorth chip for grid maps with dimensions as large as 173 × 168 nodes consuming ∼70 mW at an operating voltage of 0.8 V.

Original languageEnglish (US)
Pages (from-to)1023-1025
Number of pages3
JournalElectronics Letters
Volume53
Issue number15
DOIs
StatePublished - Jul 20 2017

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Motion planning
Electric potential
Processing

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Fischl, K. D. ; Fair, K. ; Tsai, W. Y. ; Sampson, John Morgan ; Andreou, A. G. / Spike propagation path planning on IBM TrueNorth neurosynaptic system. In: Electronics Letters. 2017 ; Vol. 53, No. 15. pp. 1023-1025.
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Spike propagation path planning on IBM TrueNorth neurosynaptic system. / Fischl, K. D.; Fair, K.; Tsai, W. Y.; Sampson, John Morgan; Andreou, A. G.

In: Electronics Letters, Vol. 53, No. 15, 20.07.2017, p. 1023-1025.

Research output: Contribution to journalArticle

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