Karl J. Friston
British neuroscientist / From Wikipedia, the free encyclopedia
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Karl John Friston FRS FMedSci FRSB (born 12 July 1959) is a British neuroscientist and theoretician at University College London. He is an authority on brain imaging and theoretical neuroscience, especially the use of physics-inspired statistical methods to model neuroimaging data and other random dynamical systems.[3][4][5][6][7][8][9][10] Friston is a key architect of the free energy principle and active inference. In imaging neuroscience he is best known for statistical parametric mapping and dynamic causal modelling. In October 2022, he joined VERSES Inc, a California-based cognitive computing company focusing on artificial intelligence designed using the principles of active inference, as Chief Scientist.
Karl Friston | |
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Born | Karl John Friston (1959-07-12) 12 July 1959 (age 64)[1] York, England |
Nationality | British |
Education | Gonville and Caius College, Cambridge (BA, 1980) |
Known for | Statistical parametric mapping, voxel-based morphometry, dynamic causal modelling, free energy principle, active inference |
Spouse | Ann Elisabeth Leonard[1] |
Awards |
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Scientific career | |
Fields | Neuroscience, Mathematical and theoretical biology, Variational Bayesian methods |
Institutions | University College London[3] |
Website | www |
Friston is one of the most highly cited living scientists[11] and in 2016 was ranked No. 1 by Semantic Scholar in the list of top 10 most influential neuroscientists.[12]