Karl J. Friston: Difference between revisions

Karl John Friston
Karl John Friston
Born	July 12, 1959 (age 64); York, UK
Nationality	British
Alma mater	Gonville & Caius College, Cambridge (1977–1980)
Website	http://www.fil.ion.ucl.ac.uk/~karl

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Karl John Friston FRS, FMedSci, FSB, is a British neuroscientist and authority^{[citation needed]} on brain imaging.

Life

Karl Friston studied physics and psychology (Natural Sciences) at Cambridge University, and went on to complete his medical studies at King's College Hospital, London. He subsequently qualified under the Oxford University Rotational Training Scheme in Psychiatry, and is now a Professor of Neuroscience at University College London.^[1] He is currently a Wellcome Trust Principal Fellow and Scientific Director of the Wellcome Trust Centre for Neuroimaging.^[2] 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,^{[citation needed]} 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).^[3] 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 169.

Awards

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. In 2011 he received an Honorary Doctorate from the University of York and became a Fellow of the Society of Biology.

Publications

L.M. Harrison, O. David, K.J. Friston: Stochastic models of neuronal dynamics, Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1457), (2005), pp. 1075–1091.
W. Penny, Z. Ghahramani, K. Friston: Bilinear dynamical systems, Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1457), (2005), pp. 983–993.
K. Friston: A theory of cortical responses, Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1456), (2005), pp. 815–836.
O. David, L. Harrison, K.J. Friston: Modelling event-related responses in the brain, Neuroimage, Vol. 25(3), (2005), pp. 756–70.
K. Friston: Learning and inference in the brain, Neural Netw., Vol. 16(9), (2003), pp. 1325–1352.
K. Friston: Functional integration and inference in the brain, Prog Neurobiol., Vol. 68(2), (2002), pp. 113–143

References

External links

Homepage
Versita.com (Emerging science publishers) http://versita.com/friston/
Interview on Spain TV program (English) http://www.rtve.es/alacarta/videos/redes/redes-formula-del-cerebro-vo/1253761/

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[1] ttps://iris.ucl.ac.uk/research/personal?upi=KJFRI52

[2] ttp://www.fil.ion.ucl.ac.uk/~karl/

[3] ttp://www.sciencedirect.com/science/article/pii/S1053811985710324

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 ==Life==
 Karl Friston studied physics and psychology (Natural Sciences) at [[Cambridge University]], and went on to complete his medical studies at [[King's College Hospital]], London. He subsequently qualified under the Oxford University Rotational Training Scheme in Psychiatry, and is now a Professor of Neuroscience at [[University College London]].<ref>https://iris.ucl.ac.uk/research/personal?upi=KJFRI52</ref> He is currently a Wellcome Trust Principal Fellow and Scientific Director of the Wellcome Trust Centre for Neuroimaging.<ref>http://www.fil.ion.ucl.ac.uk/~karl/</ref>
-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,{{citation needed|date=October 2013}} 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).<ref>http://www.sciencedirect.com/science/article/pii/S1053811985710324</ref> 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]]).
+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,{{citation needed|date=October 2013}} 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).<ref>http://www.sciencedirect.com/science/article/pii/S1053811985710324</ref> 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 169.
 == Awards ==