Karl J. Friston
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. 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. Friston also acts as a scientific advisor to numerous groups in industry.Friston is one of the most highly cited living scientists and in 2016 was ranked No. 1 by Semantic Scholar in the list of top 10 most influential neuroscientists. Provided by Wikipedia
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Entorhinal transformations in abstract frames of reference. by Raphael Kaplan, Karl J Friston
Published 2019-05-01
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Free-Energy and illusions: the Cornsweet effect by Harriet eBrown, Karl J Friston
Published 2012-02-01
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Modules or Mean-Fields? by Thomas Parr, Noor Sajid, Karl J. Friston
Published 2020-05-01
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Canonical neural networks perform active inference by Takuya Isomura, Hideaki Shimazaki, Karl J. Friston
Published 2022-01-01
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Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction by Dimitrije Markovic, Karl J. Friston, Stefan J. Kiebel
Published 2024-01-01
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The graphical brain: Belief propagation and active inference by Karl J. Friston, Thomas Parr, Bert de Vries
Published 2022-07-01
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Some Interesting Observations on the Free Energy Principle by Karl J. Friston, Lancelot Da Costa, Thomas Parr
Published 2021-08-01
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Brief Mindfulness Meditation Induces Gray Matter Changes in a Brain Hub by Rongxiang Tang, Karl J. Friston, Yi-Yuan Tang
Published 2020-01-01
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Reinforcement learning or active inference? by Karl J Friston, Jean Daunizeau, Stefan J Kiebel
Published 2009-07-01
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Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism by Karl J. Friston, Wanja Wiese, J. Allan Hobson
Published 2020-04-01
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Computational Nosology and Precision Psychiatry by Karl J. Friston, A. David Redish, Joshua A. Gordon
Published 2017-10-01
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Editorial: Understanding in the human and the machine by Yan M. Yufik, Karl J. Friston, Rosalyn J. Moran
Published 2022-11-01
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A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing by Aaron Prosser, Karl J. Friston, Nathan Bakker, Thomas Parr
Published 2018-10-01
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Experimental validation of the free-energy principle with in vitro neural networks by Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl J. Friston
Published 2023-08-01
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In the Body's Eye: The computational anatomy of interoceptive inference. by Micah Allen, Andrew Levy, Thomas Parr, Karl J Friston
Published 2022-09-01
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Inferring trajectories of psychotic disorders using dynamic causal modeling by Jingwen Jin, Peter Zeidman, Karl J. Friston, Roman Kotov
Published 2023-08-01
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