Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Bharat eBiswal"'
Autor:
Kate Brody Nooner, Stanley eColcombe, Russell eTobe, Maarten eMennes, Melissa eBenedict, Alexis eMoreno, Laura ePanek, Shaquanna eBrown, Stephen eZavitz, Qingyang eLi, Sharad eSikka, David eGutman, Saroja eBangaru, Rochelle Tziona eSchlachter, Stephanie eKamiel, Ayesha eAnwar, Caitlin eHinz, Michelle eKaplan, Anna eRachlin, Samantha eAdelsberg, Brian eCheung, Ranjit eKhanuja, Chaogan eYan, Cameron eCraddock, Vincent eCalhoun, William eCourtney, Margaret eKing, Dylan eWood, Christine eCox, Clare eKelly, Adriana eDiMartino, Eva ePetkova, Philip eReiss, Nancy eDuan, Dawn eThompsen, Bharat eBiswal, Barbara eCoffey, Matthew eHoptman, Daniel C Javitt, Nunzio ePomara, John eSidtis, Harold eKoplewicz, Francisco Xavier Castellanos, Bennett eLeventhal, Michael eMilham
Publikováno v:
Frontiers in Neuroscience, Vol 6 (2012)
The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience calls for an acceleration of discovery and the delineation of developmental trajectories for risk and resilience across the lifespan. To attain these object
Externí odkaz:
https://doaj.org/article/3569516ff774419f835b1698b98be0a2
Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices
Autor:
Timothy eMeier, Joseph eWildenberg, Jingyu eLiu, Jiayu eChen, Vince eCalhoun, Bharat eBiswal, Mary eMeyerand, Rasmus eBirn, Vivek ePrabhakaran
Publikováno v:
Frontiers in Human Neuroscience, Vol 6 (2012)
Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual in
Externí odkaz:
https://doaj.org/article/680cd04d12d546df9bc380a59d593956