Hauptseite > Publikationsdatenbank > Using big-data approaches and statistical learning to better understand brain networks underlying socio-affective phenotypes > print

001     866003
005     20210130003239.0
037 _ _ |a FZJ-2019-05263
100 1 _ |a Dukart, Jürgen
|0 P:(DE-Juel1)177727
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 15th World Congress of Biological Psychiatry
|c Vancouver
|d 2019-06-02 - 2019-06-06
|w Canada
245 _ _ |a Using big-data approaches and statistical learning to better understand brain networks underlying socio-affective phenotypes
260 _ _ |c 2019
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1576682335_4475
|2 PUB:(DE-HGF)
|x Invited
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 0
856 4 _ |u https://juser.fz-juelich.de/record/866003/files/WFSBP_2019_presentation_ASD_FC_restingstate_connectivity.pptx
|y Restricted
909 C O |o oai:juser.fz-juelich.de:866003
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)177727
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2019
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21