LEADER 03198nam  2200469z- 450 
001 9910136808203321
005 20210212
035   $a(CKB)3710000000631065
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57716
035   $a(oapen)doab57716
035   $a(EXLCZ)993710000000631065
100   $a20202102d2015      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aRecent advances and the future generation of neuroinformatics infrastructure
210   $cFrontiers Media SA$d2015
215   $a1 online resource (388 p.)
225 1 $aFrontiers Research Topics
311 08$a2-88919-677-1 
330   $aThe 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.
606   $aNeurosciences$2bicssc
610   $adata processing
610   $adatabase
610   $ahigh-throughput
610   $ainfrastructure
610   $aNeuroimaging
610   $aneuroinformatics
610   $aworkflow
615  7$aNeurosciences
700   $aJohn Van Horn$4auth$01296296
702   $aVenkata Satyanand Mattay$4auth
702   $aQian Luo$4auth
702   $aXi Cheng$4auth
702   $aDaniel Marcus$4auth
702   $aDaniel R. Weinberger$4auth
906   $aBOOK
912   $a9910136808203321
996   $aRecent advances and the future generation of neuroinformatics infrastructure$93023970
997   $aUNINA