Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Tal, Yarkoni"'
Publikováno v:
Journal of Statistical Software, Vol 103, Pp 1-29 (2022)
The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as t
Externí odkaz:
https://doaj.org/article/dd1d6fab7b95434fad1b03c895d3f180
Autor:
Alejandro de la Vega, Roberta Rocca, Ross W Blair, Christopher J Markiewicz, Jeff Mentch, James D Kent, Peer Herholz, Satrajit S Ghosh, Russell A Poldrack, Tal Yarkoni
Publikováno v:
eLife, Vol 11 (2022)
Functional magnetic resonance imaging (fMRI) has revolutionized cognitive neuroscience, but methodological barriers limit the generalizability of findings from the lab to the real world. Here, we present Neuroscout, an end-to-end platform for analysi
Externí odkaz:
https://doaj.org/article/2384fa42cd30459bb2ac765f99b3a448
Autor:
Tal Yarkoni, Dean Eckles, James A. J. Heathers, Margaret C. Levenstein, Paul E. Smaldino, Julia Lane
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/5e38f2b924564690a030eec85274dbb8
Autor:
Jérôme Dockès, Russell A Poldrack, Romain Primet, Hande Gözükan, Tal Yarkoni, Fabian Suchanek, Bertrand Thirion, Gaël Varoquaux
Publikováno v:
eLife, Vol 9 (2020)
Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to relating brain imaging results
Externí odkaz:
https://doaj.org/article/8bfa4bfc15854b36809841a2a40bca7b
Autor:
Roberta Rocca, Alejandro de la Vega, Ross W Blair, Christopher J Markiewicz, Jeff Mentch, James D Kent, Peer Herholz, Satrajit S Ghosh, Russell A Poldrack, Tal Yarkoni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::544cfb78655dd056fd11017a40446c06
https://doi.org/10.7554/elife.79277.sa2
https://doi.org/10.7554/elife.79277.sa2
Autor:
Tal Yarkoni, Alessandro Vespignani, Filiz Garip, Sendhil Mullainathan, Duncan J. Watts, Thomas L. Griffiths, Simine Vazire, Matthew J. Salganik, Jake M. Hofman, Susan Athey, Helen Margetts, Jon Kleinberg
Publikováno v:
Nature. 595:181-188
Computational social science is more than just large repositories of digital data and the computational methods needed to construct and analyse them. It also represents a convergence of different fields with different ways of thinking about and doing
Autor:
Timothy N Rubin, Oluwasanmi Koyejo, Krzysztof J Gorgolewski, Michael N Jones, Russell A Poldrack, Tal Yarkoni
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 10, p e1005649 (2017)
A central goal of cognitive neuroscience is to decode human brain activity-that is, to infer mental processes from observed patterns of whole-brain activation. Previous decoding efforts have focused on classifying brain activity into a small set of d
Externí odkaz:
https://doaj.org/article/ac4fc189672844c7a1a2d4fe4e4d55fd
Autor:
Krzysztof J Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M Mallar Chakravarty, Nathan W Churchill, Alexander Li Cohen, R Cameron Craddock, Gabriel A Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S Ghosh, J Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher J Steele, Pierre-Olivier Quirion, Robert E Smith, Stephen C Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A Poldrack
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 3, p e1005209 (2017)
The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. In this work, we introduce a framework for creating, tes
Externí odkaz:
https://doaj.org/article/3104ecfd7dcb4833982f436f752842e0
Publikováno v:
Wellcome Open Research, Vol 1 (2017)
Most functional magnetic resonance imaging (fMRI) experiments record the brain’s responses to samples of stimulus materials (e.g., faces or words). Yet the statistical modeling approaches used in fMRI research universally fail to model stimulus var
Externí odkaz:
https://doaj.org/article/a0857cda0d534f1ebe2586d876275042
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0184923 (2017)
Statistically underpowered studies can result in experimental failure even when all other experimental considerations have been addressed impeccably. In fMRI the combination of a large number of dependent variables, a relatively small number of obser
Externí odkaz:
https://doaj.org/article/ccc4d56ad55d46dca2a1a46022fea8fd