Karl J. Friston Explained

Karl Friston
Birth Name:Karl John Friston
Birth Date:1959 7, df=yes[1]
Birth Place:York, England
Nationality:British
Fields:Neuroscience, Mathematical and theoretical biology, Variational Bayesian methods
Workplaces:University College London
Education:Gonville and Caius College, Cambridge (BA, 1980)
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Known For:Statistical parametric mapping, voxel-based morphometry, dynamic causal modelling, free energy principle, active inference
Spouse:Ann Elisabeth Leonard
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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.[2] [3] [4] [5] [6] [7] 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[8] and in 2016 was ranked No. 1 by Semantic Scholar in the list of top 10 most influential neuroscientists.[9]

Education

Karl Friston attended the Ellesmere Port Grammar School, later renamed Whitby Comprehensive, from 1970 to 1977. Friston studied natural sciences (physics and psychology) at the University of Cambridge in 1980, and completed his medical studies at King's College Hospital, London.[1]

Career

Friston subsequently qualified under the Oxford University Rotational Training Scheme in Psychiatry, and is now a professor of neuroscience at University College London.[10] He was a Wellcome Trust Principal Fellow and is currently Scientific Director of the Wellcome Trust Centre for Neuroimaging.[11] 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.[12] 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 dysconnection 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 Laplace[13] and Generalized filtering, which use variational Bayesian methods for time-series analysis. Friston is principally known for 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[14] (Active inference in the Bayesian brain[15]). According to Google Scholar, Friston's h-index is 263.

In 2020 he applied dynamic causal modelling as a Systems biology approach to Epidemiological modelling.[16] He subsequently became a member of Independent SAGE, an independent, public-facing alternative to the COVID-19 pandemic government advisory body Scientific Advisory Group for Emergencies.

Awards and achievements

In 1996, Friston received the first Young Investigators Award in Human Brain Mapping, and was elected a Fellow of the Academy of Medical Sciences (1999) in recognition of contributions to the bio-medical sciences. In 2000 he was President of the international Organization for Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006 and received a Collège de France Medal in 2008. His nomination for the Royal Society reads

He became a Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial Prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO in 2014 and the Academia Europaea in 2015. He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award from the Organization for Human Brain Mapping. He holds Honorary Doctorates from the universities of York, Zurich, Liège and Radboud University.

External links

Notes and References

  1. Web site: FRISTON, Prof. Karl John . Who's Who 2014, A & C Black, an imprint of Bloomsbury Publishing plc, 2014; online edn, Oxford University Press .
  2. 14622888. 2003. Friston. K. Learning and inference in the brain. Neural Networks. 16. 9. 1325–52. 10.1016/j.neunet.2003.06.005. 10.1.1.160.2313. 17163442.
  3. 12450490. 2002. Friston. K. Functional integration and inference in the brain. Progress in Neurobiology. 68. 2. 113–43 . 10.1016/s0301-0082(02)00076-x. 7203119.
  4. 15937014. 2005. Friston. K. A theory of cortical responses. Philosophical Transactions of the Royal Society B: Biological Sciences. 360. 1456. 815–36. 10.1098/rstb.2005.1622. 1569488.
  5. 16087442. 1854926. 2005. Penny. W. Bilinear dynamical systems. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 360. 1457. 983–93. Ghahramani . Z . Zoubin Ghahramani. Friston . K . Karl J. Friston. 10.1098/rstb.2005.1642.
  6. 16087449. 1854931. 2005. Harrison. L. M.. Stochastic models of neuronal dynamics. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 360. 1457. 1075–91. David. O. Friston. K. J.. 10.1098/rstb.2005.1648.
  7. 15808977. 2005. David. O. Modelling event-related responses in the brain. NeuroImage. 25. 3. 756–70. Harrison. L. Friston. K. J.. 10.1016/j.neuroimage.2004.12.030. 11725486.
  8. Web site: Highly Cited Researchers (h>100) according to their Google Scholar Citations public profiles. 2022-07-28.
  9. Web site: A computer program just ranked the most influential brain scientists of the modern era. Bohannon . John . 11 November 2016 . sciencemag.org . 2017-01-05.
  10. Web site: Iris View Profile . University College London . 2014-07-20.
  11. Professor Karl Friston – Selected papers.
  12. 10.1006/nimg.1995.1032 . A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia . NeuroImage . 1995 . 2 . 4 . 244–252 . I.C. . Wright . 9343609. 45664559 .
  13. K Friston, J Mattout, N Trujillo-Barreto, J Ashburner, and W Penny, "Variational free energy and the Laplace approximation," NeuroImage, vol. 34, no. 1, pp. 220-34, 2007
  14. The Genius Neuroscientist Who Might Hold the Key to True AI . Shaun . Raviv . WIRED . November 13, 2018 . 2018-11-16. en-US.
  15. Friston. Karl. 2018. Of woodlice and men: A Bayesian account of cognition, life and consciousness. An interview with Karl Friston (by Martin Fortier & Daniel Friedman). ALIUS Bulletin. 2. 17–43.
  16. News: Covid-19 expert Karl Friston: "Germany may have more immunological "dark matter"" . Spinney . Laura . The Guardian. 31 May 2020 . 8 April 2021.