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Karl John Friston

Affiliations: 
University College London, London, United Kingdom 
Area:
cognitive neuroscience, neuroimaging methods, functional connectivity
Website:
http://www.fil.ion.ucl.ac.uk/Friston/
Google:
"Karl Friston"
Mean distance: 12.85 (cluster 29)
 
SNBCP

Children

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Hanneke EM den Ouden grad student UCL
Keyvan Yahya grad student welcome trust centre
Richard Ewald Rosch grad student 2014- UCL
John Ashburner grad student 1997-2000 University College London
Ben Seymour grad student 2002-2007 UCL
Marta I Garrido grad student 2004-2007 UCL
Chia-Yueh Carlton Chu grad student 2009 UCL
Miriam C. Klein grad student 2009-2012 UCL
Dominik R. Bach post-doc
Christian Büchel post-doc University Medical Center Hamburg-Eppendorf
Jean Daunizeau post-doc UCL
Pamela Kathleen Douglas post-doc
Cathy Price post-doc UCL
Klaas Enno Stephan post-doc
Vladimir Litvak post-doc 2006- Institute of Neurology, UCL
Raphael Kaplan post-doc 2013- UCL
Peter Zeidman post-doc 2014- UCL
Emma Holmes post-doc 2018- UCL
Geraint Rees post-doc 2000-2001 UCL
Stefan Kiebel post-doc 1999-2009 UCL
Christoph Mathys post-doc 2013-2016 UCL
Biswa Sengupta research scientist 2013-2016 Institute of Neurology, UCL

Collaborators

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Sven Bestmann collaborator UCL
Stefan Kiebel collaborator UCL
Annapoorna - Kuppuswamy collaborator
Andre Bastos collaborator 2011- UC Davis
Laurent Perrinet collaborator 2010-2012 UCL
BETA: Related publications

Publications

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Parr T, Markovic D, Kiebel SJ, et al. (2019) Neuronal message passing using Mean-field, Bethe, and Marginal approximations. Scientific Reports. 9: 1889
Rigoli F, Michely J, Friston KJ, et al. (2019) The role of the hippocampus in weighting expectations during inference under uncertainty. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 115: 1-14
Preller KH, Razi A, Zeidman P, et al. (2019) Effective connectivity changes in LSD-induced altered states of consciousness in humans. Proceedings of the National Academy of Sciences of the United States of America
Friston KJ, Parr T. (2019) Passive motion and active inference: Commentary on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by Vishwanathan Mohan, Ajaz Bhat and Pietro Morasso. Physics of Life Reviews
Sales AC, Friston KJ, Jones MW, et al. (2019) Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: An Active Inference model. Plos Computational Biology. 15: e1006267
Zeidman P, Kazan SM, Todd N, et al. (2018) Optimizing Data for Modeling Neuronal Responses. Frontiers in Neuroscience. 12: 986
Sokolov AA, Zeidman P, Erb M, et al. (2018) Structural and effective brain connectivity underlying biological motion detection. Proceedings of the National Academy of Sciences of the United States of America. 115: E12034-E12042
Parr T, Friston KJ. (2018) The Anatomy of Inference: Generative Models and Brain Structure. Frontiers in Computational Neuroscience. 12: 90
Prosser A, Friston KJ, Bakker N, et al. (2018) A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing. Computational Psychiatry (Cambridge, Mass.). 2: 92-140
Parr T, Friston KJ. (2018) Attention or salience? Current Opinion in Psychology. 29: 1-5
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