Karl Friston
| Karl Friston | |
|---|---|
| Born | Karl John Friston 12 July 1959 York, UK |
| Nationality | British |
| Fields | Neuroscience |
| Institutions | University College London |
| Alma mater | Gonville and Caius College, Cambridge (BA, 1980) |
| Known for | Statistical parametric mapping, Voxel-based morphometry, Dynamic causal modelling, Free energy principle |
| Notable awards |
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| Spouse | Ann Elisabeth Leonard |
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Website www |
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Karl John Friston FRS, FMedSci, FRSB, is a British neuroscientist and an expert on brain imaging.
Friston studied Natural Sciences (physics and psychology) at the University of Cambridge and went on to complete his medical studies at King's College Hospital, London.
Friston subsequently qualified under the Oxford University Rotational Training Scheme in Psychiatry, and is now a Professor of Neuroscience at University College London. He is currently a Wellcome Trust Principal Fellow and Scientific Director of the Wellcome Trust Centre for Neuroimaging. He also holds an honorary consultant post at the National Hospital for Neurology and Neurosurgery. He invented statistical parametric mapping: SPM is an international standard for analysing imaging data and rests on the general linear model and random field theory (developed with Keith Worsley). In 1994, his group developed voxel-based morphometry. VBM detects differences in neuroanatomy and is used clinically and as a surrogate in genetic studies. These technical contributions were motivated by schizophrenia research and theoretical studies of value-learning (with Gerry Edelman). In 1995, this work was formulated as the disconnection hypothesis of schizophrenia (with Chris Frith). In 2003, he invented dynamic causal modelling (DCM), which is used to infer the architecture of distributed systems like the brain. Mathematical contributions include variational (generalised) filtering and dynamic expectation maximization (DEM), which are Variational Bayesian methods for time-series analysis. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a variational Free energy principle (active inference in the Bayesian brain). According to Google Scholar Karl Friston's h-index is 194.
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