Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: design methodology and selected applications

DOI10.1016/J.NEUNET.2015.09.011zbMath1414.68063OpenAlexW1878915617WikidataQ31024661 ScholiaQ31024661MaRDI QIDQ2418172

Yanyan Li

Publication date: 3 June 2019

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10292/9065

zbMATH Keywords

evolving spiking neural networkscomputational neurogenetic systemsevolving connectionist systemsevolving spatio-temporal data machinesNeuCubespatio/spectro temporal data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

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• Pynn

Cites Work

• An experimental unification of reservoir computing methods
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