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Statistical evaluation of synchronous spike patterns extracted by frequent item set mining
We recently proposed frequent itemset mining (FIM) as a method to perform an optimized search for patterns of synchronous spikes (item sets) in massively parallel spike trains. This search outputs the occurrence count (support) of individual patterns that are not trivially explained by the counts of...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3805944/ https://ncbi.nlm.nih.gov/pubmed/24167487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2013.00132 |
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