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Period detection an...
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Kaipainen, Mauri
(author)
Period detection and representation by recurrent oscillatory self-organizing map
- Article/chapterEnglish2003
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LIBRIS-ID:oai:DiVA.org:sh-12234
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https://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-12234URI
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https://doi.org/10.1016/S0925-2312(02)00670-7DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Whether or not periodicity is a property of the environment, for a cognitive system a period is always a dynamical mental construct. This study suggests a dynamical implementation of this hypothesis using recurrent oscillatory self-organizing map of the feature space of such streams. The mapping allows the system to assign identity and class-membership to each stream point, represented by a locus on a two-dimensional map. The model is shown to detect periodicities of various regular and behavior-originated, single- and multi-channel wave patterns, and to reproduce such signals, relying solely on the oscillating activation of the units.
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In:Neurocomputing55:3-4, s. 699-7100925-23121872-8286
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