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Spatiotemporal Pattern Recognition with Neuromorphic Processor for Edge Applications
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
(English)Manuscript (preprint) (Other academic)
Keywords [en]
neuromorphic, spiking neural network, pattern recognition, edge computing, delay line, DYNAP
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-73945OAI: oai:DiVA.org:ltu-73945DiVA, id: diva2:1315962
Funder
The Kempe Foundations
Note

Extended abstract submitted for the 31st annual workshop of the Swedish Artificial Intelligence Society (SAIS 2019).

Available from: 2019-05-15 Created: 2019-05-15 Last updated: 2019-10-11

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fulltext(552 kB)5 downloads
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File name FULLTEXT01.pdfFile size 552 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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