Karl Friston FRS FMedSci


Wellcome Principal Research Fellow and Scientific Director

Wellcome Trust Centre for Neuroimaging
Professor: Institute of Neurology, University College London
Honorary Consultant: The National Hospital for Neurology and Neurosurgery, UK

 

 

Description: Karl photo - March 07

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Bio-sketch


Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning – formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical Bayesian model inversion. 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 free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, Collθge de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Society of Biology in 2012 and received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology.

           

 

Selected Publications:

 

 

·        Free-energy principle

·        Theoretical neurobiology

·        Predictive coding and information theory

·        Computational neuroscience

·        Dynamic Causal Modelling

·        Bayesian and Variational model inversion

·        Optimality, value-learning and plasticity

·        Disconnection hypothesis and schizophrenia

·        Degeneracy

·        Neuroimaging (reviews and commentaries)

·        Voxel-based morphometry and computational anatomy

·        Hemodynamic models

·        Multivariate models

·        Topological inference

·        Source reconstruction (EEG and MEG)

 

 

 

Free-energy principle and the Bayesian Brain

 

http://upload.wikimedia.org/wikipedia/commons/6/63/Wikipedia-logo.png

 

Key papers

 

Friston K, Schwartenbeck P, Fitzgerald T, Moutoussis M, Behrens T, Dolan RJ.

The anatomy of choice: active inference and agency.

Front Hum Neurosci. 2013 Sep 25;7:598.

 

Friston K.

Life as we know it.

J R Soc Interface. 2013 Jul 3;10(86):20130475.

 

Adams RA, Stephan KE, Brown HR, Frith CD, Friston KJ.

The computational anatomy of psychosis

Front Psychiatry. 2013 May 30;4:47

 

Brown H, Adams RA, Parees I, Edwards M, Friston K.

Active inference, sensory attenuation and illusions

Cogn Process. 2013 Jun 7. [Epub ahead of print]

 

Bastos AM, Usrey WM, Adams RA, Mangun GR, Fries P, Friston KJ.

Canonical microcircuits for predictive coding

Neuron. 2012 Nov 21;76(4):695-711

 

Friston K.

A Free Energy Principle for Biological Systems

Entropy 2012, 14, 2100-2121; doi:10.3390/e14112100

 

Adams RA, Shipp S, Friston KJ.

Predictions not commands: active inference in the motor system

Brain Struct Funct. 2013 May;218(3):611-43

 

Friston K, Samothrakis S, Montague R.

Active inference and agency: optimal control without cost functions

Biol Cybern. 2012 106(8-9):523-41

 

Hobson JA, Friston KJ.

Waking and dreaming consciousness: Neurobiological and functional considerations

Prog Neurobiol. 2012 May 15;98(1):82-98

 

Friston K, Adams RA, Perrinet L and Breakspear M

Perceptions as hypotheses: saccades as experiments

Front. Psychology (2012) 3:151. doi: 10.3389/fpsyg.2012.00151

 

Brown H, Friston KJ.

Free-energy and illusions: the Cornsweet effect

Front. Psychology 2012, 3:43. doi:10.3389/fpsyg.2012.00043

 

Friston KJ, Shiner T, FitzGerald T, Galea JM, Adams R, et al.

Dopamine, Affordance and Active Inference

PLoS Comput Biol 2012, 8(1): e1002327

 

Friston, K. Ao, P.

Free-energy, value and attractors

Computational and mathematical methods in medicine, Volume 2012, Article ID 937860

 

Friston K.

Policies and Priors

Springer Series in Computational Neuroscience, 1, Volume 10,

Computational Neuroscience of Drug Addiction, 2011;Part 3, Pages 237-283

 

Friston K, Mattout J, Kilner J.

Action understanding and active inference

Biol Cybern. 2011 104:137–160

 

Feldman H, Friston KJ.

Attention, uncertainty, and free-energy

Front Hum Neurosci. 2010 Dec 2;4:215

 

Friston KJ, Daunizeau J, Kilner J, Kiebel SJ.

Action and behavior: a free-energy formulation

Biol Cybern. 2010 102(3):227-60

 

Friston KJ, Daunizeau J, Kiebel SJ.

Reinforcement learning or active inference?

PLoS One. 2009 Jul 29;4(7):e6421

 

Friston K.

Hierarchical Models in the Brain

PLoS Comput Biol (2008) 4(11): e1000211

 

Friston K, Stephan KE.

Free energy and the brain

Synthese. 2007. 159:417–458

 

Friston K, Kilner J, Harrison L.

A free energy principle for the brain

J Physiol Paris. 2006 Jul-Sep;100(1-3):70-87

 

Friston K.
A theory of cortical responses
Philos Trans R Soc Lond B Biol Sci. 2005 Apr 29;360(1456):815-36

 

 

 

Reviews and perspectives

 

Seth AK.

Interoceptive inference, emotion, and the embodied self.

Trends Cogn Sci. 2013 Nov;17(11):565-73.

 

Shipp S, Adams RA, Friston KJ.

Reflections on agranular architecture: predictive coding in the motor cortex.

Trends Neurosci. 2013 Oct 21. doi:pii: S0166-2236(13)00160-4.

 

Gu X, Hof PR, Friston KJ, Fan J.

Anterior insular cortex and emotional awareness.

J Comp Neurol. 2013 Jun 8. doi: 10.1002/cne.23368

 

Sengupta B, Stemmler MB, Friston KJ.

Information and efficiency in the nervous system-a synthesis.

PLoS Comput Biol. 2013 Jul;9(7):e1003157.

 

Friston K,

The fantastic organ

Brain 2013: 136; 1328–1332

 

Clark A.

Whatever next? Predictive brains, situated agents, and the future of cognitive science

Behav Brain Sci. 2013 Jun;36(3):181-204

 

Friston K, Adams R and Montague R.

What is value—accumulated reward or evidence?

Front. Neurorobot. (2012) 6:11. doi: 10.3389/fnbot.2012.00011

 

Edwards MJ, Adams RA, Brown H, Pareιs I, Friston KJ.

A Bayesian account of 'hysteria'

Brain. 2012 135(Pt 11):3495-512

 

Friston K.

What is optimal about motor control?

Neuron. 2011 Nov 3;72(3):488-98

 

Friston K.

The free-energy principle: a unified brain theory?

Nat Rev Neurosci. 2010 Feb;11(2):127-38

 

Friston K.

The free-energy principle: a rough guide to the brain?

Trends Cogn Sci. 2009 13(7):293-301

 

Friston K.

Embodied Inference: or “I think therefore I am, if I am what I think”

In: The Implications of Embodiment (Cognition and Communication) Eds. Wolfgang Tschacher and Claudia Bergomi

Imprint Academic ISBN 9781845402402

 

 

Technical papers

 

Friston K, Breakspear M and Deco G

Perception and self-organized instability

Front. Comput. Neurosci. (2012) 6:44. doi: 10.3389/fncom.2012.00044

 

Friston K, Stephan K, Li B, and Daunizeau J.

Generalised Filtering

Mathematical Problems in Engineering. vol. 2010, Article ID 621670, 34 pages, 2010

 

Friston KJ.

Variational filtering

Neuroimage. 2008 Jul 1;41(3):747-66

 

Friston KJ, Trujillo-Barreto N, Daunizeau J.

DEM: A variational treatment of dynamic systems

Neuroimage. 2008 Jul 1;41(3):849-85

 

Friston K, Mattout J, Trujillo-Barreto N, Ashburner J, Penny W.

Variational free energy and the Laplace approximation

NeuroImage. 2007 Jan 1;34(1):220-34

 

 

Features, commentaries and popular science

 

Friston KJ, Lawson R, Frith CD.

On hyperpriors and hypopriors: comment on Pellicano and Burr

Trends Cogn Sci. 2013 Jan;17(1):1 – pdf

 

Friston K.

Competitive dynamics in the brain: Comment on "Information flow dynamics in the brain" by M.I. Rabinovich et al.

Phys Life Rev. 2012 Mar;9(1):76-7 – pdf

 

Friston K,

Predictive coding, precision and synchrony

Cognitive Neuroscience. 2012. Volume 3, Issue 3-4:238-239 – pdf

 

Friston K, Thornton C, Clark A.

Free-energy minimization and the dark-room problem.

Front Psychol. 2012;3:130. – pdf

 

Friston K.

Prediction, perception and agency.

Int J Psychophysiol. 2012. 83:248-252 - pdf

 

Friston K.

The history of the future of the Bayesian brain.

Neuroimage. 2011 Oct 17 – pdf

 

Is this a unified theory of the brain? From New Scientist. 28 May 2008 pp 30-33 – pdf

By Gregory T. Huang

 

The Prophetic Brain: Universe in 2009 SEED Magazine – pdf

By Karl Friston / January 27, 2009

 

Surprise yourself. The Social Brain RSA. July 15, 2009  – pdf

By Matt Grist

 

Thornton C.

Some puzzles relating to the free-energy principle: comment on Friston.

Trends Cogn Sci. 2010 Feb;14(2):53-4; author reply 54-5. – pdf

 

Friston K.

Is the free-energy principle neurocentric?

Nat Rev Neurosci. 2010 11:605 – pdf

 

 

 

TV Interview (Spanish and English)

 

http://t1.gstatic.com/images?q=tbn:ANd9GcQXiJcER9kxfgaA63-tEFOEtKUeu-rPvGXkqVvZShphkzJ7tRad

Redes - La fσrmula del cerebro (V.O.)
released: 20 November 2011

Lecture (for schoolchildren)

 

Brain Awareness Week at the European Parliament
published: March. 19, 2010,   recorded: March 2008

Free-energy and the brain – (PowerPoint)

 

Lectures (for grownups)

event thumbnail image

 

Free energy and active inference

 

Karl Friston, Wellcome Trust Centre for Neuroimaging, University College London

published: Oct. 16, 2012,   recorded: September 2012

 

 

Logo Max-Planck-Institut fόr Mathematik in den Naturwissenschaften Leipzig

 

 

Embodied inference and free energy

 

Karl Friston, Wellcome Trust Centre for Neuroimaging, University College London

published: Nov 2013,   recorded: March 2013

 

 

Theoretical neurobiology

 

Sengupta B, Stemmler MB, Friston KJ.

Information and efficiency in the nervous system--a synthesis.

PLoS Comput Biol. 2013 Jul;9(7):e1003157. – pdf

 

Kiebel SJ, Friston KJ.

Free energy and dendritic self-organization.

Front Syst Neurosci. 2011;5:80. – pdf

 

Brown H, Friston K, Bestamnn S.

Active inference, attention and motor preparation.

Front Pyshcology  2:218. doi: 10.3389/fpsyg.2011.00218 – pdf

 

Kiebel SJ, von Kriegstein K, Daunizeau J, Friston KJ.

Recognizing sequences of sequences.

PLoS Comput Biol. 2009 Aug;5(8):e1000464.  – pdf

 

Friston K. 

Learning and inference in the brain.

Neural Netw. 2003 Nov;16(9):1325-52. – pdf

 

Friston K.  
Functional integration and inference in the brain.
Prog Neurobiol. 2002 Oct;68(2):113-43. – pdf

 

Friston KJ.  
Brain function nonlinear coupling and neuronal transients. 
Neuroscientist. 2001 Oct;7(5):406-18. – pdf
 
Friston KJ, Price CJ. 
Dynamic representations and generative models of brain function.
Brain Res Bull. 2001 Feb;54(3):275-85.  – pdf
 
Friston KJ.  
The labile brain. I. Neuronal transients and nonlinear coupling. 
Philos Trans R Soc Lond B Biol Sci. 2000 Feb 29;355(1394):215-36. – pdf
 
Friston KJ.  
The labile brain. II. Transients, complexity and selection. 
Philos Trans R Soc Lond B Biol Sci. 2000 Feb 29;355(1394):237-52. – pdf
 
Friston KJ.  
The labile brain. III. Transients and spatio-temporal receptive fields. 
Philos Trans R Soc Lond B Biol Sci. 2000 Feb 29;355(1394):253-65. – pdf
 
Friston KJ.  
Another neural code? 
NeuroImage. 1997 Apr;5(3):213-20. – pdf
 
Friston KJ.  
Transients, metastability, and neuronal dynamics. 
NeuroImage. 1997 Feb;5(2):164-71. – pdf
 
Friston KJ.  
Neuronal transients. 
Proc Biol Sci. 1995 Sep 22;261(1362):401-5. – pdf
 
Friston, K. J., Tononi, G., Sporns, O. and Edelman, G. M. 
Characterising the complexity of neuronal interactions. 
Hum. Brain Mapp., 1995 3: 302–314. – pdf
 

 

 

Predictive coding and information theory

 

 

Brown HR, Friston KJ.

Dynamic causal modelling of precision and synaptic gain in visual perception - an EEG study.

Neuroimage. 2012 Oct 15;63(1):223-31 – pdf

 

Coste CP, Sadaghiani S, Friston KJ, and Kleinschmidt A.

Ongoing Brain Activity Fluctuations Directly Account for Intertrial and Indirectly for Intersubject Variability in Stroop Task Performance

Cerebral Cortex doi:10.1093/cercor/bhr050 – pdf

 

Hesselmann G, Sadaghiani S, Friston KJ, Kleinschmidt A.

Predictive coding or evidence accumulation? False inference and neuronal fluctuations.

PLoS One. 2010 Mar 29;5(3):e9926 – pdf

 

Friston KJ, Kiebel SJ.

Attractors in song.

New Math. Nat. Comput. 2009 5:83–114. – pdf

 

Friston KJ, Kiebel SJ.

Cortical circuits for perceptual inference.

Neural Netw. 2009 Jul 19. [Epub ahead of print] – pdf

 

Friston KJ, Kiebel SJ.

Predictive coding under the free-energy principle

Phil. Trans. R. Soc. B May 12, 2009 364:1211-1221 – pdf

 

Brodersen KH, Penny WD, Harrison LM, Daunizeau J, Ruff CC, Duzel E, Friston KJ, Stephan KE.

Integrated Bayesian models of learning and decision making for saccadic eye movements.

Neural Netw. 2008 Nov;21(9):1247-60. – pdf

 

Garrido MI, Kilner JM, Kiebel SJ, Friston KJ.

Evoked brain responses are generated by feedback loops.

Proc Natl Acad Sci U S A. 2007 Dec 26;104(52):20961-6. – pdf

 

Furl N, van Rijsbergen NJ, Treves A, Friston KJ, Dolan RJ.

Experience-dependent coding of facial expression in superior temporal sulcus.

Proc Natl Acad Sci U S A. 2007 Aug 7; – pdf

 

Griffiths TD, Kumar S, Warren JD, Stewart L, Stephan KE, Friston KJ.

Approaches to the cortical analysis of auditory objects.

Hear Res. 2007 Jul;229(1-2):46-53. Epub 2007 Jan 16. – pdf

 

Kilner JM, Friston KJ, Frith CD. 

Predictive coding: an account of the mirror neuron system.

Cogn Process. 2007 Sep;8(3):159-66.– pdf

 

Kilner JM, Friston KJ, Frith CD. 

The mirror-neuron system: a Bayesian perspective.

Neuroreport. 2007 Apr 16;18(6):619-23.

 

Harrison LM, Stephan KE, Rees G, Friston KJ. 

Extra-classical receptive field effects measured in striate cortex with fMRI.

NeuroImage. 2007 Feb 1;34(3):1199-208. – pdf

 

Harrison LM, Duggins A, Friston KJ. 

Encoding uncertainty in the hippocampus.

Neural Netw. 2006 Jun;19(5):535-46. – pdf

 

Strange BA, Duggins A, Penny W, Dolan RJ, Friston KJ.  
Information theory, novelty and hippocampal responses: unpredicted or unpredictable? 
Neural Netw. 2005 Apr;18(3):225-30. – pdf
 

 

 

Computational neuroscience

 

 

Marreiros AC, Kiebel SJ, Daunizeau J, Harrison LM, Friston KJ.

Population dynamics under the Laplace assumption.

Neuroimage. 2009 Feb 1;44(3):701-14. – pdf

 

Marreiros AC, Daunizeau J, Kiebel SJ, Friston KJ.

Population dynamics: Variance and the sigmoid activation function.

NeuroImage. 2008 Apr 29 – pdf

 

Chumbley JR, Dolan RJ, Friston KJ.

Attractor models of working memory and their modulation by reward.

Biol Cybern. 2008 Jan;98(1):11-8. – pdf

 

David O, Kilner JM, Friston KJ. 

Mechanisms of evoked and induced responses in MEG/EEG.

NeuroImage. 2006 Jul 15;31(4):1580-91. – pdf

 

Harrison LM, David O, Friston KJ. 
Stochastic models of neuronal dynamics. 
Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):1075-91. – pdf

 

David O, Harrison L, Friston KJ. 
Modelling event-related responses in the brain. 
NeuroImage. 2005 Apr 15;25(3):756-70. – pdf
 
David O, Cosmelli D, Friston KJ.  
Evaluation of different measures of functional connectivity using a neural mass model. 
NeuroImage. 2004 Feb;21(2):659-73. – pdf
 
Breakspear M, Terry JR, Friston KJ.  
Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics. 
Network. 2003 Nov;14(4):703-32. – pdf
 
David O, Friston KJ.   
A neural mass model for MEG/EEG: coupling and neuronal dynamics. 
NeuroImage. 2003 Nov;20(3):1743-55. – pdf
 
Chawla D, Friston KJ, Lumer ED.  
Zero-lag synchronous dynamics in triplets of interconnected cortical areas. 
Neural Netw. 2001 Jul-Sep;14(6-7):727-35. – pdf
 

Chawla D, Lumer ED, Friston KJ

Relating macroscopic measures of brain activity to fast, dynamic neuronal interactions

Neural Computation 12, 2805-2821 (200) - pdf

. 
Rees G, Friston K, Koch C.  
A direct quantitative relationship between the functional properties of human and macaque V5. 
Nat Neurosci. 2000 Jul;3(7):716-23. – (pdf)
 
Chawla D, Lumer ED, Friston KJ.  
The relationship between synchronization among neuronal populations and their mean activity levels. 

Neural Comput. 1999 Aug 15;11(6):1389-411. - pdf

 
Friston KJ Stephan KM Frackowiak RSJ  
Transient phase-locking and dynamic correlations: Are they the same thing?  
Human Brain Mapping  1997;5:48-57. - pdf
 
Friston KJ, Frith CD, Frackowiak RS. 
Principal component analysis learning algorithms: a neurobiological analysis. 
Proc Biol Sci. 1993 Oct 22;254(1339):47-54. - pdf
 
Friston KJ, Frith CD, Liddle PF, Frackowiak RS.  
Investigating a network model of word generation with positron emission tomography. 
Proc Biol Sci. 1991 May 22;244(1310):101-6. - pdf

 

 

 

Dynamic Causal Modelling

http://upload.wikimedia.org/wikipedia/en/1/13/Scholarpedia_logo.png

 

 

Seghier ML, Friston KJ.

Network discovery with large DCMs.

Neuroimage. 2012 68 (2013) 181–191. - pdf

 

Pinotsis DA, Moran RJ, Friston KJ.

Dynamic causal modeling with neural fields.

Neuroimage. 2012 Jan 16;59(2):1261-74. - pdf

 

Friston KJ, Bastos A, Litvak V, Stephan KE, Fries P, Moran RJ.

DCM for complex-valued data: cross-spectra, coherence and phase-delays.

Neuroimage. 2012 Jan 2;59(1):439-55. - pdf

 

Moran RJ, Stephan KE, Dolan RJ, Friston KJ.

Consistent spectral predictors for dynamic causal models of steady-state responses.

Neuroimage. 2011 Apr 15;55(4):1694-708. - pdf

 

Havlicek M, Friston KJ, Jan J, Brazdil M, Calhoun VD.

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering.

Neuroimage. 2011 Jun 15;56(4):2109-28. - pdf

 

Friston KJ, Li B, Daunizeau J, Stephan KE.

Network discovery with DCM.

Neuroimage. 2010 Dec 21. - pdf

 

Li B, Daunizeau J, Stephan KE, Penny W, Hu D, Friston K.

Generalised filtering and stochastic DCM for fMRI.

Neuroimage. 2011 Feb 16. - pdf

 

Marreiros AC, Kiebel SJ, Friston KJ.

A dynamic causal model study of neuronal population dynamics.

Neuroimage. 2010 May 15;51(1):91-101.- pdf

 

Stephan KE, Penny WD, Moran RJ, den Ouden HE, Daunizeau J, Friston KJ.

Ten simple rules for dynamic causal modeling.

Neuroimage. 2010 Feb 15;49(4):3099-109. - pdf

 

Penny WD, Litvak V, Fuentemilla L, Duzel E, Friston K.

Dynamic Causal Models for phase coupling.

J Neurosci Methods. 2009 Sep 30;183(1):19-30. - pdf

 

Daunizeau J, Kiebel SJ, Friston KJ.

Dynamic causal modelling of distributed electromagnetic responses.

Neuroimage. 2009 Aug 15;47(2):590-601. - pdf

 

Chen CC, Henson RN, Stephan KE, Kilner JM, Friston KJ.

Forward and backward connections in the brain: a DCM study of functional asymmetries.

Neuroimage. 2009 Apr 1;45(2):453-62 - pdf

 

Moran RJ, Stephan KE, Seidenbecher T, Pape HC, Dolan RJ, Friston KJ.

Dynamic causal models of steady-state responses.

Neuroimage. 2009 Feb 1;44(3):796-811. - pdf

 

Stephan KE, Kasper L, Harrison LM, Daunizeau J, den Ouden HE, Breakspear M, Friston KJ.

Nonlinear dynamic causal models for fMRI.

Neuroimage. 2008 May 11 - pdf

 

Moran RJ, Stephan KE, Kiebel SJ, Rombach N, O'Connor WT, Murphy KJ, Reilly RB, Friston KJ.

Bayesian estimation of synaptic physiology from the spectral responses of neural masses.

Neuroimage. 2008 Feb 1. [Epub ahead of print] - pdf

 

Chen CC, Kiebel SJ, Friston KJ.

Dynamic causal modelling of induced responses.

Neuroimage. 2008 Jul 15;41(4):1293-312. - pdf

 

Marreiros AC, Kiebel SJ, Friston KJ.

Dynamic causal modelling for fMRI: a two-state model.

Neuroimage. 2008 Jan 1;39(1):269-78. - pdf

 

Stephan KE, Weiskopf N, Drysdale PM, Robinson PA, Friston KJ.

Comparing hemodynamic models with DCM.

NeuroImage. 2007 Nov 15;38(3):387-401 - pdf

 

Garrido MI, Kilner JM, Kiebel SJ, Stephan KE, Friston KJ. 

Dynamic causal modelling of evoked potentials: A reproducibility study.

NeuroImage. 2007 Mar 27; [Epub ahead of print] – pdf

 

Kiebel SJ, Garrido MI, Friston KJ. 

Dynamic causal modelling of evoked responses: The role of intrinsic connections.

NeuroImage. 2007 Jun;36(2):332-45. – pdf

 

Stephan KE, Harrison LM, Kiebel SJ, David O, Penny WD, Friston KJ.

Dynamic causal models of neural system dynamics: current state and future extensions.

J Biosci. 2007 Jan;32(1):129-44.

 

Kiebel SJ, Kloppel S, Weiskopf N, Friston KJ. 

Dynamic causal modeling: a generative model of slice timing in fMRI.

NeuroImage. 2007 Feb 15;34(4):1487-96. – pdf

 

Mouridsen K, Friston K, Hjort N, Gyldensted L, Ostergaard L, Kiebel S.

Bayesian estimation of cerebral perfusion using a physiological model of microvasculature.

NeuroImage. 2006 Nov 1;33(2):570-9. – pdf

 

Kiebel SJ, David O, Friston KJ.

Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization.

NeuroImage. 2006 May 1;30(4):1273-84. – pdf

 

David O, Kiebel SJ, Harrison LM, Mattout J, Kilner JM, Friston KJ. 

Dynamic causal modeling of evoked responses in EEG and MEG.

NeuroImage. 2006 May 1;30(4):1255-72. – pdf

 

Stephan KE, Penny WD, Marshall JC, Fink GR, Friston KJ.

Investigating the functional role of callosal connections with dynamic causal models.

Ann N Y Acad Sci. 2005 Dec;1064:16-36.

 

Lee L, Friston K, Horwitz B.

Large-scale neural models and dynamic causal modelling.

NeuroImage. 2006 May 1;30(4):1243-54. – pdf

 

Penny WD, Stephan KE, Mechelli A, Friston KJ.  
Comparing dynamic causal models.
NeuroImage. 2004 Jul;22(3):1157-72. – pdf

 

Penny WD, Stephan KE, Mechelli A, Friston KJ.  
Modelling functional integration: a comparison of structural equation and dynamic causal models. 
NeuroImage. 2004;23 Suppl 1:S264-74. – pdf

 

Mechelli A, Price CJ, Noppeney U, Friston KJ.  
A dynamic causal modeling study on category effects: bottom-up or top-down mediation? 
J Cogn Neurosci. 2003 Oct 1;15(7):925-34. 

 

Friston KJ, Harrison L, Penny W.  
Dynamic causal modelling. 
NeuroImage. 2003 Aug;19(4):1273-302. – pdf
 

 

 

Bayesian and Variational model inversion

 

 

Balaji B, and Friston K.

Bayesian state estimation using generalized coordinates.

Proc. SPIE 8050, 80501Y (2011) – pdf

 

Friston K, Penny W.

Post hoc Bayesian model selection.

Neuroimage. 2011 Jun 15;56(4):2089-99. – pdf

 

Friston K, Stephan K, Li B, and Daunizeau J.

Generalised Filtering

Mathematical Problems in Engineering. vol. 2010, Article ID 621670, 34 pages, 2010. – pdf

 

Friston KJ.

Variational filtering.

Neuroimage. 2008 Jul 1;41(3):747-66. – pdf

 

Friston KJ, Trujillo-Barreto N, Daunizeau J.

DEM: A variational treatment of dynamic systems.

Neuroimage. 2008 Jul 1;41(3):849-85. – pdf

 

Friston K, Mattout J, Trujillo-Barreto N, Ashburner J, Penny W.

Variational free energy and the Laplace approximation.

NeuroImage. 2007 Jan 1;34(1):220-34. – pdf

 

Penny W, Ghahramani Z, Friston K 
Bilinear dynamical systems. 
Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):983-93. – pdf
 
Penny WD, Trujillo-Barreto NJ, Friston KJ.  
Bayesian fMRI time series analysis with spatial priors. 
NeuroImage. 2005 Jan 15;24(2):350-62. – pdf
 
Harrison L, Penny WD, Friston K.  
Multivariate autoregressive modeling of fMRI time series. 
NeuroImage. 2003 Aug;19(4):1477-91. – pdf
 
Penny W, Kiebel S, Friston K.  
Variational Bayesian inference for fMRI time series. 
NeuroImage. 2003 Jul;19(3):727-41. – pdf 
 

Friston KJ, Penny W

Posterior probability maps and SPMs

NeuroImage, (2003) 19, 1240-1249. – pdf

 
Phillips C, Rugg MD, Friston KJ.  
Anatomically informed basis functions for EEG source localization: combining functional and anatomical constraints. 
NeuroImage. 2002 Jul;16(3 Pt 1):678-95. – pdf
 

Friston KJ

Bayesian Estimation of Dynamical Systems: An Application to fMRI

NeuroImage 16, 513-530 (2002) – pdf

 

Friston KJ, Penny W, Phillips, Kiebel S, Hinton G, Ashburner J

Classical and Bayesian Inference in Neuroimaging: Theory

NeuroImage 16, 465-483 (2002) – pdf

 

Friston KJ, Glaser DE, Henson RNA, Kiebel S, Phillips C, Ashburner J

Classical and Bayesian Inference in Neuroimaging: Applications

NeuroImage 16, 484-512 (2002) – pdf

 
Phillips C, Rugg MD & Friston KJ.  
Systematic Regularization of Linear Inverse Solutions of the EEG Source Localization Problem. 
NeuroImage 2002;17:287-301 – pdf
 
Bόchel C, Friston KJ.  
Dynamic changes in effective connectivity characterized by variable parameter regression and Kalman filtering. 
Hum Brain Mapp. 1998;6(5-6):403-8. – pdf
 

Lecture

 

http://videolectures.net/aispds08_friston_vfgc/thumb.jpg

Variational filtering in generated coordinates of motion
published: Sept. 9, 2008,   recorded: May 2008

Variational filtering and DEM – (PowerPoint)

 
 

Optimality, value-learning and plasticity

 

 

Mathys C, Jean Daunizeau J, Karl J Friston KJ, Klaas Enno Stephan KE.

A Bayesian foundation for individual learning under uncertainty

Front. Hum. Neurosci. 5:35 DOI: 10.3389/fnhum.2011.00039 – pdf

 

Daunizeau J, den Ouden HE, Pessiglione M, Kiebel SJ, Stephan KE, Friston KJ.

Observing the observer (I): meta-bayesian models of learning and decision-making.

PLoS One. 2010 Dec 14;5(12):e15554. – pdf

 

Daunizeau J, den Ouden HE, Pessiglione M, Kiebel SJ, Friston KJ, Stephan KE.

Observing the observer (II): deciding when to decide.

PLoS One. 2010 Dec 14;5(12):e15555. – pdf

 

Garrido MI, Kilner JM, Kiebel SJ, Stephan KE, Baldeweg T, Friston KJ.

Repetition suppression and plasticity in the human brain.

Neuroimage. 2009 Oct 15;48(1):269-79. – pdf

 

Yoshida W, Dolan RJ, Friston KJ.
Game theory of mind.
PLoS Comput Biol. 2008 Dec;4(12):e1000254. – pdf
 
Seymour B, O'Doherty JP, Dayan P, Koltzenburg M, Jones AK, Dolan RJ, Friston KJ, Frackowiak RS.  
Temporal difference models describe higher-order learning in humans. 
Nature. 2004 Jun 10;429(6992):664-7. – pdf
 
O'Doherty J, Dayan P, Schultz J, Deichmann R, Friston K, Dolan RJ.  
Dissociable roles of ventral and dorsal striatum in instrumental conditioning. 
Science. 2004 Apr 16;304(5669):452-4. 
 
O'Doherty JP, Dayan P, Friston K, Critchley H, Dolan RJ.  
Temporal difference models and reward-related learning in the human brain. 
Neuron. 2003 Apr 24;38(2):329-37. – pdf
 
Thiel CM, Friston KJ, Dolan RJ.  
Cholinergic modulation of experience-dependent plasticity in human auditory cortex. 
Neuron. 2002 Aug 1;35(3):567-74. – pdf
 
Elliott R, Friston KJ, Dolan RJ.  
Dissociable neural responses in human reward systems. 
J Neurosci. 2000 Aug 15;20(16):6159-65. 
 
Bόchel C, Coull JT, Friston KJ.  
The predictive value of changes in effective connectivity for human learning. 
Science. 1999 Mar 5;283(5407):1538-41. – pdf
 
Friston KJ, Tononi G, Reeke GN Jr, Sporns O, Edelman GM.  
Value-dependent selection in the brain: simulation in a synthetic neural model. 
Neuroscience. 1994 Mar;59(2):229-43. – pdf
 

 

 

Dysconnection hypothesis and schizophrenia

 

 

Adams RA, Perrinet LU, Friston K.

Smooth pursuit and visual occlusion: active inference and oculomotor control in schizophrenia.

PLoS One. 2012;7(10):e47502 – pdf

 

Stephan KE, Karl J. Friston KJ, Frith CD

Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoring

Schizophrenia Bulletin 2009; doi: 10.1093/schbul/sbn176 – pdf

 

Stephan KE, Baldeweg T, Friston KJ. 

Synaptic plasticity and dysconnection in schizophrenia.

Biol Psychiatry. 2006 May 15;59(10):929-39. Epub 2006 Jan 19. Review – pdf

 

Friston KJ.  

Hallucinations and perceptual inference

Behavioral and Brain Sciences [0140-525X]: 2005 28(6):764-766 – pdf

 

Friston KJ  
Disconnection and cognitive dysmetria in schizophrenia. 
Am J Psychiatry. 2005 Mar;162(3):429-32. – pdf

 

Friston KJ.  
Dysfunctional connectivity in schizophrenia. 
World Psychiatry. 2002 Jun;1(2):66-71. – pdf
 
Friston KJ.  
Schizophrenia and the disconnection hypothesis. 
Acta Psychiatr Scand Suppl. 1999;395:68-79. 
 
Friston KJ.  
The disconnection hypothesis. 
Schizophr Res. 1998 Mar 10;30(2):115-25. – pdf
 
Friston KJ.  
Theoretical neurobiology and schizophrenia. 
Br Med Bull. 1996 Jul;52(3):644-55.  – pdf

 

Friston KJ, Frith CD.  
Schizophrenia: a disconnection syndrome? 
Clin Neurosci. 1995;3(2):89-97. – pdf

 

 

 

Degeneracy

 

 

Noppeney U, Friston KJ, Price CJ.  
Degenerate neuronal systems sustaining cognitive functions. 
J Anat. 2004 Dec;205(6):433-42.
 
Friston KJ, Price CJ.  
Degeneracy and redundancy in cognitive anatomy. 
Trends Cogn Sci. 2003 Apr;7(4):151-152. – pdf
 
Price CJ, Friston KJ.  
Degeneracy and cognitive anatomy. 
Trends Cogn Sci. 2002 Oct 1;6(10):416-421. – pdf
 
Price CJ, Mummery CJ, Moore CJ, Frackowiak RS, Friston KJ. 
Delineating necessary and sufficient neural systems with functional imaging studies of neuropsychological patients. 
J Cogn Neurosci. 1999 Jul;11(4):371-82. 
 

 

 

Neuroimaging (reviews and commentaries)

 

Friston K, Moran R, Seth AK.

Analysing connectivity with Granger causality and dynamic causal modelling.

Curr Opin Neurobiol. 2012 Dec 21. doi:pii: S0959-4388(12)00184-5. – pdf

 

Friston K.

Ten ironic rules for non-statistical reviewers.

Neuroimage. 2012 61: 1300–1310 – pdf

 

Friston KJ.

Functional and Effective Connectivity: A Review

Brain Connectivity. 2011, 1(1): 13-36. – pdf

 

Friston KJ, Dolan RJ.

Computational and dynamic models in neuroimaging.

Neuroimage. 2009 Dec 28. [Epub ahead of print] – pdf

 

Friston KJ.

Modalities, modes, and models in functional neuroimaging.

Science. 2009 Oct 16;326(5951):399-403. – pdf

 

Kiebel SJ, Garrido MI, Moran R, Chen CC, Friston KJ.

Dynamic causal modeling for EEG and MEG.

Hum Brain Mapp. 2009 Jun;30(6):1866-76. Review. – pdf

 

Friston K.

Causal modelling and brain connectivity in functional magnetic resonance imaging.

PLoS Biol. 2009 Feb 17;7(2):e33. – pdf

 

Friston KJ, Rotshtein P, Geng JJ, Sterzer P, Henson RN. 

A critique of functional localisers.

NeuroImage. 2006 May 1;30(4):1077-87. – pdf

 

Friston KJ. 

Models of brain function in neuroimaging.

Annu Rev Psychol. 2005;56:57-87 – pdf

 

Friston K. 
Beyond phrenology: what can neuroimaging tell us about distributed circuitry? 
Annu Rev Neurosci. 2002;25:221-50. Epub 2002 Mar 19. – pdf
 
Friston KJ.
Imaging neuroscience: principles or maps?
Proc Natl Acad Sci U S A. 1998 Feb 3;95(3):796-802 – pdf

 

Friston KJ, Price CJ, Fletcher P, Moore C, Frackowiak RS, Dolan RJ.  
The trouble with cognitive subtraction. 
NeuroImage. 1996 Oct;4(2):97-104. – pdf
 
Friston KJ 
Functional and effective connectivity in neuroimaging: A synthesis 
Human Brain Mapping 1995: 2;56-78 – pdf
 
Friston KJ, Frith CD, Passingham RE, Liddle PF, Frackowiak RS.
Motor practice and neurophysiological adaptation in the cerebellum: a positron tomography study.
Proc Biol Sci. 1992 Jun 22;248(1323):223-8 – pdf
 
 
 

Voxel-based morphometry and computational anatomy

 
 
Ashburner J, Friston KJ.  
Unified segmentation. 
NeuroImage. 2005 Jul 1;26(3):839-51. – pdf
 
Friston KJ, Ashburner J.  
Generative and recognition models for neuroanatomy. 
NeuroImage. 2004 Sep;23(1):21-4. 
 
Salmond CH, Ashburner J, Vargha-Khadem F, Connelly A, Gadian DG, Friston KJ.  
Distributional assumptions in voxel-based morphometry. 
NeuroImage. 2002 Oct;17(2):1027-30. – pdf
 
Ashburner J, Friston KJ.  
Voxel-based morphometry--the methods. 
NeuroImage. 2000 Jun;11(6 Pt 1):805-21. – pdf
 
Wright IC, McGuire PK, Poline JB, Travere JM, Murray RM, Frith CD, Frackowiak RS, Friston KJ.  
A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia. 
NeuroImage. 1995 Dec;2(4):244-52. – pdf
 
Friston KJ Ashburner J Frith CD Poline J-B Heather JD and Frackowiak RSJ 
The spatial registration and normalisation of images  – pdf
Human Brain Mapping  1995;3:165-189
 
Friston KJ, Passingham RE, Nutt JG, Heather JD, Sawle GV, Frackowiak RS.  
Localisation in PET images: direct fitting of the intercommissural (AC-PC) line. 
J Cereb Blood Flow Metab. 1989 Oct;9(5):690-5. 
 
 
 

Hemodynamic models

 

 
J.M. Kilner, J. Mattout, R. Henson and K.J. Friston
Hemodynamic correlates of EEG: A heuristic
NeuroImage, Volume 28, Issue 1, 15 October 2005, Pages 280-286. – pdf
 
Mechelli A, Price CJ, Friston KJ.  
Nonlinear coupling between evoked rCBF and BOLD signals: a simulation study of hemodynamic responses. 
NeuroImage. 2001 Oct;14(4):862-72. – pdf
 

Friston KJ, Mechelli A, Turner R, Price CJ

Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels and Other Hemodynamics

NeuroImage 12, 466-477 (2000) – pdf

 
Friston KJ, Josephs O, Rees G, Turner R.  
Nonlinear event-related responses in fMRI. 
Magn Reson Med. 1998 Jan;39(1):41-52. – pdf
 
K.J. Friston, P. Jezzard, and R. Turner
Analysis of Functional MRI Time-Series 

Human Brain Mapping 1:153-171(1994) – pdf

 

Friston KJ

Regulation of rCBF by Diffusible Signals: An Analysis of Constraints on Diffusion and Elimination

Human Brain Mapping 3:56-65(1995) – pdf

 
 
 

Multivariate models

 
 
Friston K, Chu C, Mourγo-Miranda J, Hulme O, Rees G, Penny W, Ashburner J.
Bayesian decoding of brain images.
Neuroimage. 2007 Aug 24. – pdf
 
Friston K, Phillips J, Chawla D, Bόchel C.  
Nonlinear PCA: characterizing interactions between modes of brain activity. 
Philos Trans R Soc Lond B Biol Sci. 2000 Jan 29;355(1393):135-46. – pdf
 
Friston KJ, Frith CD, Fletcher P, Liddle PF, Frackowiak RS.
Functional topography: multidimensional scaling and functional connectivity in the brain.
Cereb Cortex. 1996 Mar-Apr;6(2):156-64. – pdf
 
Friston KJ, Frith CD, Frackowiak RS, Turner R.
Characterizing dynamic brain responses with fMRI: a multivariate approach.
Neuroimage. 1995 Jun;2(2):166-72. – pdf
 
Friston KJ, Frith CD, Liddle PF, Frackowiak RS.  
Functional connectivity: the principal-component analysis of large (PET) data sets. 
J Cereb Blood Flow Metab. 1993 Jan;13(1):5-14. – pdf
 
K.J. Friston, L.G. Ungerleider, P. Jezzard, and R. Turner.
Characterizing modulatory interactions between V1 and V2 in human cortex with fMRI
Human Brain Mapping, 2:211-224, 1995. - pdf
 
 

Topological inference

 
 
Chumbley J, Worsley K, Flandin G, Friston K.
Topological FDR for neuroimaging.
Neuroimage. 2010 Feb 15;49(4):3057-64. – pdf
 
Friston KJ.  
Testing for anatomically specified regional effects. 
Hum Brain Mapp. 1997;5(2):133-6. – pdf
 
Friston KJ, Holmes A, Poline JB, Price CJ, Frith CD.  
Detecting activations in PET and fMRI: levels of inference and power. 
NeuroImage. 1996 Dec;4(3 Pt 1):223-35. – pdf
 
Worsley KJ Marrett S Neelin P Vandal AC Friston KJ Evans AC  
A unified statistical approach for determining significant signals in images of cerebral activation  
Human Brain Mapping  1996;4:58-73. – pdf
 

Friston KJ Holmes AP Worsley KJ Poline JB Frith CD and Frackowiak RSJ

Statistical Parametric Maps in functional imaging: A general linear approach

Human Brain Mapping 1995;2;189-210. – pdf

 

Friston KJ Worsley KJ Frackowiak RSJ Mazziotta JC & Evans AC 
Assessing the significance of focal activations using their spatial extent 
Human Brain Mapping 1994;1:214-220. – pdf
 
Friston KJ, Frith CD, Liddle PF, Frackowiak RS.  
Comparing functional (PET) images: the assessment of significant change. 
J Cereb Blood Flow Metab. 1991 Jul;11(4):690-9. – pdf
 
Friston KJ, Frith CD, Liddle PF, Dolan RJ, Lammertsma AA, Frackowiak RS.   
The relationship between global and local changes in PET scans. 
J Cereb Blood Flow Metab. 1990 Jul;10(4):458-66. – pdf
 

 

 

Source reconstruction (EEG and MEG)

 

Litvak V, Friston K.
Electromagnetic source reconstruction for group studies.
Neuroimage. 2008 Oct 1;42(4):1490-8.  - pdf
 
Friston K, Harrison L, Daunizeau J, Kiebel S, Phillips C, Trujillo-Barreto N, Henson R, Flandin G, Mattout J.
Multiple sparse priors for the M/EEG inverse problem.
Neuroimage. 2007 Oct 10; [Epub ahead of print] – pdf
 
Mattout, J., Henson, R N. & Friston, K.J. 
Canonical Source Reconstruction for MEG.
Computational Intelligence and Neuroscience. 2007. Article ID 67613 – pdf
 

Daunizeau J, Friston KJ.

A mesostate-space model for EEG and MEG.

NeuroImage. 2007 Jul 24;38(1):67-81 – pdf

 

Friston K, Henson R, Phillips C, Mattout J.  

Bayesian estimation of evoked and induced responses.

Hum Brain Mapp. 2006 Feb 1;27(9):722-735. – pdf

 

Mattout J, Phillips C, Penny WD, Rugg MD, Friston KJ.

MEG source localization under multiple constraints: An extended Bayesian framework.

NeuroImage. 2005 Dec 17; [Epub ahead of print] – pdf

 

Phillips C, Mattout J, Rugg MD, Maquet P, Friston KJ.  
An empirical Bayesian solution to the source reconstruction problem in EEG. 
NeuroImage. 2005 Feb 15;24(4):997-1011. – pdf

 

 

 

 

 

Recent Presentations

 

 

logo[1]

 

Special lecture: Free Energy and Active Inference - Karl J. Friston

 

Dynamic Causal Modelling – (PowerPoint)

 

Neural Mass Modelling – (PowerPoint)

 

Free-energy and the brain – (PowerPoint)

 

Free-energy and value – (PowerPoint)

 

Free-energy and precision – (PowerPoint)

 

Free-energy and saccades – (PowerPoint)

 

Free-energy and schizophrenia– (PowerPoint)

 

Cortical connectivity – (PowerPoint)

 

Variational filtering and DEM – (PowerPoint)

 

Free-energy lecture – (PowerPoint)

 

 

 

 

Movie files

 

 

Sensor space - movie

 

Source space - movie

 

Boulders - movie

 

Starlings - movie

 

Smile (stimulus) - movie

 

Smile (percept) - movie

 

Reaching movement - movie

 

Mountain car - movie

 

Simulated creatures (by Karl Sims) - movie

 

 

Curriculum Vitae - doc