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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.ORCID iD: 0000-0001-5662-825x
2019 (English)In: Online Proceedings of SAIS 2019, 2019Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2019.
Keywords [en]
neuromorphic, spiking neural network, pattern recognition, edge computing, delay line, DYNAP
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electronic systems
Identifiers
URN: urn:nbn:se:ltu:diva-77668OAI: oai:DiVA.org:ltu-77668DiVA, id: diva2:1392399
Conference
The 31st Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2019)
Funder
The Kempe Foundations, JCK-1809Available from: 2020-02-07 Created: 2020-02-07 Last updated: 2020-02-07

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https://sais2019.cs.umu.se/wp-content/uploads/2019/06/SAIS_2019_paper_10.pdf

Authority records BETA

Sandin, Fredrik

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