Ciencias,UNAM

INTERDISCIPLINARY STRATEGIES FOR ANALYZING DATA RECORDED FROM BIOLOGICAL AND SIMULATED ENSEMBLES OF NEURONS

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dc.contributor.author ESPINOSA, I
dc.contributor.author QUIZA, J
dc.contributor.author GOMEZ, JM
dc.contributor.author SANTAMARIA, F
dc.contributor.author González, H
dc.contributor.author González, JJ
dc.contributor.author Arroyo, R
dc.date.accessioned 2011-01-22T10:28:34Z
dc.date.available 2011-01-22T10:28:34Z
dc.date.issued 1994
dc.identifier.uri http://hdl.handle.net/11154/3071
dc.language.iso en en_US
dc.title INTERDISCIPLINARY STRATEGIES FOR ANALYZING DATA RECORDED FROM BIOLOGICAL AND SIMULATED ENSEMBLES OF NEURONS en_US
dc.type Article en_US
dc.identifier.idprometeo 3252
dc.subject.wos Computer Science, Artificial Intelligence
dc.subject.wos Neurosciences
dc.description.index WoS: SCI, SSCI o AHCI
dc.relation.journal World Congress On Neural Networks-San Diego - 1994 International Neural Network Society Annual Meeting, Vol 4

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