Matches in SemOpenAlex for { <https://semopenalex.org/work/W1600622522> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W1600622522 abstract "Spiking Neural Networks (SNNs) use inter-spike time coding to process input data. In this paper, a new learning algorithm for SNNs that uses the inter-spike times within a spike train is introduced. The learning algorithm utilizes the spatio-temporal pattern produced by the spike train input mapping unit and adjusts synaptic weights during learning. The approach was applied to classification problems." @default.
- W1600622522 created "2016-06-24" @default.
- W1600622522 creator A5028442027 @default.
- W1600622522 creator A5031357414 @default.
- W1600622522 date "2005-01-01" @default.
- W1600622522 modified "2023-09-26" @default.
- W1600622522 title "Learning Algorithm for Spiking Neural Networks" @default.
- W1600622522 cites W1522981972 @default.
- W1600622522 cites W2074832630 @default.
- W1600622522 cites W2114475956 @default.
- W1600622522 cites W2119264024 @default.
- W1600622522 cites W4234207415 @default.
- W1600622522 cites W4238614602 @default.
- W1600622522 cites W2006370340 @default.
- W1600622522 doi "https://doi.org/10.1007/11539087_58" @default.
- W1600622522 hasPublicationYear "2005" @default.
- W1600622522 type Work @default.
- W1600622522 sameAs 1600622522 @default.
- W1600622522 citedByCount "4" @default.
- W1600622522 crossrefType "book-chapter" @default.
- W1600622522 hasAuthorship W1600622522A5028442027 @default.
- W1600622522 hasAuthorship W1600622522A5031357414 @default.
- W1600622522 hasConcept C105795698 @default.
- W1600622522 hasConcept C111919701 @default.
- W1600622522 hasConcept C11413529 @default.
- W1600622522 hasConcept C115903868 @default.
- W1600622522 hasConcept C11731999 @default.
- W1600622522 hasConcept C119857082 @default.
- W1600622522 hasConcept C153180895 @default.
- W1600622522 hasConcept C154945302 @default.
- W1600622522 hasConcept C179518139 @default.
- W1600622522 hasConcept C2781390188 @default.
- W1600622522 hasConcept C2909946758 @default.
- W1600622522 hasConcept C33923547 @default.
- W1600622522 hasConcept C41008148 @default.
- W1600622522 hasConcept C50644808 @default.
- W1600622522 hasConcept C98045186 @default.
- W1600622522 hasConceptScore W1600622522C105795698 @default.
- W1600622522 hasConceptScore W1600622522C111919701 @default.
- W1600622522 hasConceptScore W1600622522C11413529 @default.
- W1600622522 hasConceptScore W1600622522C115903868 @default.
- W1600622522 hasConceptScore W1600622522C11731999 @default.
- W1600622522 hasConceptScore W1600622522C119857082 @default.
- W1600622522 hasConceptScore W1600622522C153180895 @default.
- W1600622522 hasConceptScore W1600622522C154945302 @default.
- W1600622522 hasConceptScore W1600622522C179518139 @default.
- W1600622522 hasConceptScore W1600622522C2781390188 @default.
- W1600622522 hasConceptScore W1600622522C2909946758 @default.
- W1600622522 hasConceptScore W1600622522C33923547 @default.
- W1600622522 hasConceptScore W1600622522C41008148 @default.
- W1600622522 hasConceptScore W1600622522C50644808 @default.
- W1600622522 hasConceptScore W1600622522C98045186 @default.
- W1600622522 hasLocation W16006225221 @default.
- W1600622522 hasOpenAccess W1600622522 @default.
- W1600622522 hasPrimaryLocation W16006225221 @default.
- W1600622522 hasRelatedWork W2057623054 @default.
- W1600622522 hasRelatedWork W2371447506 @default.
- W1600622522 hasRelatedWork W2380313759 @default.
- W1600622522 hasRelatedWork W2386387936 @default.
- W1600622522 hasRelatedWork W2386767533 @default.
- W1600622522 hasRelatedWork W2392110728 @default.
- W1600622522 hasRelatedWork W2556021649 @default.
- W1600622522 hasRelatedWork W2748952813 @default.
- W1600622522 hasRelatedWork W3107474891 @default.
- W1600622522 hasRelatedWork W3132903103 @default.
- W1600622522 isParatext "false" @default.
- W1600622522 isRetracted "false" @default.
- W1600622522 magId "1600622522" @default.
- W1600622522 workType "book-chapter" @default.