Spike propagation path planning on IBM TrueNorth neurosynaptic system

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 True...

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Bibliographic Details
Published inElectronics letters Vol. 53; no. 15; pp. 1023 - 1025
Main Authors Fischl, K.D, Fair, K, Tsai, W.-Y, Sampson, J, Andreou, A.G
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 20.07.2017
Subjects
architectural constraints
Bioinspired technology
IBM TrueNorth neurosynaptic system
neural chips
path planning
spike propagation path planning algorithm
temporal domain
voltage 0.8 V
IBM TrueNorth neurosynaptic system
temporal domain
spike propagation path planning algorithm
path planning
neural chips
architectural constraints
voltage 0.8 V
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Summary: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.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2017.1351