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Karl John Friston

University College London, London, United Kingdom 
cognitive neuroscience, neuroimaging methods, functional connectivity
"Karl Friston"
Mean distance: 12.85 (cluster 29)


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Hanneke EM den Ouden grad student UCL
Keyvan Yahya grad student welcome trust centre
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
Richard Ewald Rosch grad student 2014-2018 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


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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


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Bowling JT, Friston KJ, Hopfinger JB. (2019) Top-down versus bottom-up attention differentially modulate frontal-parietal connectivity. Human Brain Mapping
Kaplan R, Tauste Campo A, Bush D, et al. (2019) Human hippocampal theta oscillations reflect sequential dependencies during spatial planning. Cognitive Neuroscience. 1-10
Rigoli F, Mathys C, Friston KJ, et al. (2019) Correction: A unifying Bayesian account of contextual effects in value-based choice. Plos Computational Biology. 15: e1007366
Parr T, Friston KJ. (2019) Generalised free energy and active inference. Biological Cybernetics
Parr T, Corcoran AW, Friston KJ, et al. (2019) Perceptual awareness and active inference. Neuroscience of Consciousness. 2019: niz012
Smith R, Lane RD, Parr T, et al. (2019) Neurocomputational mechanisms underlying emotional awareness: insights afforded by deep active inference and their potential clinical relevance. Neuroscience and Biobehavioral Reviews
Parr T, Rikhye RV, Halassa MM, et al. (2019) Prefrontal Computation as Active Inference. Cerebral Cortex (New York, N.Y. : 1991)
Vincent P, Parr T, Benrimoh D, et al. (2019) With an eye on uncertainty: Modelling pupillary responses to environmental volatility. Plos Computational Biology. 15: e1007126
Friston KJ, Diedrichsen J, Holmes E, et al. (2019) Variational representational similarity analysis. Neuroimage
Gu X, FitzGerald THB, Friston KJ. (2019) Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework. Psychopharmacology
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