01502nam0 2200337 450 00003693120141121084247.03-519-01444-020140623d1975----km-y0itaa50------bagrcDEIamblichi In Nicomachi Arithmeticam introductionem liberad fidem codicis Florentini edidit Hermenegildus Pistelli (1894)editionem addendis et corrigendis adiunctis curavit Udalricus KleinStutgardiaein aedibus B. G. Teubneri1975XXIII, 195 p.20 cmBibliotheca scriptorum Graecorum et Romanorum Teubneriana2001Bibliotheca scriptorum Graecorum et Romanorum TeubnerianaIn Nicomachi Arithmeticam introductionem / Iamblichus Chalcidiensis27460182.2(22. ed.)Filosofia pitagoricaIamblichus Chalcidensis<ca. 250/75-330/35>162252Pistelli,ErmenegildoKlein,UlrichITUniversità della Basilicata - B.I.A.REICATunimarc000036931In Nicomachi Arithmeticam introductionem27460UNIBASEXT0130120140623BAS011032EXT0130120140623BAS011035EXT0130120140826BAS011518EXT0130120141121BAS010842BAS01BAS01BOOKBASA1Polo Storico-UmanisticoGENCollezione generaleClass/150878117L781172014062302Prestabile Generale03198nam 2200469z- 450 991013680820332120210212(CKB)3710000000631065(oapen)https://directory.doabooks.org/handle/20.500.12854/57716(oapen)doab57716(EXLCZ)99371000000063106520202102d2015 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRecent advances and the future generation of neuroinformatics infrastructureFrontiers Media SA20151 online resource (388 p.)Frontiers Research Topics2-88919-677-1 The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.Neurosciencesbicsscdata processingdatabasehigh-throughputinfrastructureNeuroimagingneuroinformaticsworkflowNeurosciencesJohn Van Hornauth1296296Venkata Satyanand MattayauthQian LuoauthXi ChengauthDaniel MarcusauthDaniel R. WeinbergerauthBOOK9910136808203321Recent advances and the future generation of neuroinformatics infrastructure3023970UNINA