DSpace at KISTKIST Conference Paper2014

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dc.contributor.authorJeong, Doo Seok-
dc.date.accessioned2024-01-19T12:07:46Z-
dc.date.available2024-01-19T12:07:46Z-
dc.date.created2022-03-01-
dc.date.issued2014-07-
dc.identifier.issn2165-0179-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/115342-
dc.description.abstractNeural representation is briefly reviewed and its essential features, which are required to be implemented in artificial neural networks, are addressed. They are such as population representation and correlation between neighboring neurons. These aspects play an important role in conveying information, compensating the unreliability of individual neuron.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titlePopulation representation of artificial neural network-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)-
dc.citation.title14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceUniv Notre Dame, Notre Dame, IN-
dc.citation.conferenceDate2014-07-29-
dc.relation.isPartOf2014 14TH INTERNATIONAL WORKSHOP ON CELLULAR NANOSCALE NETWORKS AND THEIR APPLICATIONS (CNNA)-
dc.identifier.wosid000346574800027-
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