Stefan Kiebel

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi request reprint Anatomically informed basis functions in multisubject studies
    Stefan Kiebel
    The Wellcome Department of Imaging Neuroscience, The Institute of Neurology, 12 Queen Square, WC1N 3BG London, United Kingdom
    Hum Brain Mapp 16:36-46. 2002
  2. ncbi request reprint Dynamic causal modelling of evoked responses: the role of intrinsic connections
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK
    Neuroimage 36:332-45. 2007
  3. ncbi request reprint Dynamic causal modeling: a generative model of slice timing in fMRI
    Stefan J Kiebel
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, UK
    Neuroimage 34:1487-96. 2007
  4. ncbi request reprint Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization
    Stefan J Kiebel
    Wellcome Department of Imaging Neuroscience, Functional Imaging Laboratory, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 30:1273-84. 2006
  5. pmc Dynamic causal modelling for EEG and MEG
    Stefan J Kiebel
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK
    Cogn Neurodyn 2:121-36. 2008
  6. pmc A hierarchy of time-scales and the brain
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
    PLoS Comput Biol 4:e1000209. 2008
  7. ncbi request reprint Statistical parametric mapping for event-related potentials (II): a hierarchical temporal model
    Stefan J Kiebel
    Functional Imaging Laboratory, Institute of Neurology, Wellcome Department of Imaging Neuroscience, London WC1N 3BG, UK
    Neuroimage 22:503-20. 2004
  8. doi request reprint Dynamic causal modeling for EEG and MEG
    Stefan J Kiebel
    The Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, United Kingdom
    Hum Brain Mapp 30:1866-76. 2009
  9. ncbi request reprint A heuristic for the degrees of freedom of statistics based on multiple variance parameters
    Stefan J Kiebel
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, 12 Queen Square, London WCIN 3BG, UK
    Neuroimage 20:591-600. 2003
  10. pmc Recognizing sequences of sequences
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, London, UK
    PLoS Comput Biol 5:e1000464. 2009

Detail Information

Publications41

  1. ncbi request reprint Anatomically informed basis functions in multisubject studies
    Stefan Kiebel
    The Wellcome Department of Imaging Neuroscience, The Institute of Neurology, 12 Queen Square, WC1N 3BG London, United Kingdom
    Hum Brain Mapp 16:36-46. 2002
    ..It is shown that this procedure offers various advantages compared to existing conventional methods for the analysis of multisubject studies, in particular it is more sensitive to underlying activations...
  2. ncbi request reprint Dynamic causal modelling of evoked responses: the role of intrinsic connections
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK
    Neuroimage 36:332-45. 2007
    ..We illustrate this extension using synthetic data and empirical data from an oddball ERP experiment...
  3. ncbi request reprint Dynamic causal modeling: a generative model of slice timing in fMRI
    Stefan J Kiebel
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, UK
    Neuroimage 34:1487-96. 2007
    ..We apply our procedure to real data and show that slice timings are important parameters. We conclude that, generally, one should use DCM with slice timing...
  4. ncbi request reprint Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization
    Stefan J Kiebel
    Wellcome Department of Imaging Neuroscience, Functional Imaging Laboratory, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 30:1273-84. 2006
    ..Using synthetic and real data, we show that this approach furnishes accurate and robust conditional estimates of coupling among sources and their orientations...
  5. pmc Dynamic causal modelling for EEG and MEG
    Stefan J Kiebel
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK
    Cogn Neurodyn 2:121-36. 2008
    ..In this paper, we will motivate and describe the current DCM framework. Two examples show how the approach can be applied to M/EEG experiments...
  6. pmc A hierarchy of time-scales and the brain
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
    PLoS Comput Biol 4:e1000209. 2008
    ..The framework provides predictions about, and principled constraints on, cortical structure-function relationships, which can be tested by manipulating the time-scales of sensory input...
  7. ncbi request reprint Statistical parametric mapping for event-related potentials (II): a hierarchical temporal model
    Stefan J Kiebel
    Functional Imaging Laboratory, Institute of Neurology, Wellcome Department of Imaging Neuroscience, London WC1N 3BG, UK
    Neuroimage 22:503-20. 2004
    ..e., of unknown but constrained form). We describe the analysis procedures, the underlying theory and compare its performance to established techniques...
  8. doi request reprint Dynamic causal modeling for EEG and MEG
    Stefan J Kiebel
    The Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, United Kingdom
    Hum Brain Mapp 30:1866-76. 2009
    ..We suggest that DCM and Bayesian model comparison provides a useful way to test hypotheses about distributed processing in the brain, using electromagnetic data...
  9. ncbi request reprint A heuristic for the degrees of freedom of statistics based on multiple variance parameters
    Stefan J Kiebel
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, 12 Queen Square, London WCIN 3BG, UK
    Neuroimage 20:591-600. 2003
    ..Another application is to hierarchical linear models, which are used for modeling multisubject data. To illustrate our approach, we apply it to some typical modeling scenarios in fMRI data analysis...
  10. pmc Recognizing sequences of sequences
    Stefan J Kiebel
    Wellcome Trust Centre for Neuroimaging, London, UK
    PLoS Comput Biol 5:e1000464. 2009
    ..By presenting anomalous stimuli, we find that the resulting recognition dynamics disclose inference at multiple time scales and are reminiscent of neuronal dynamics seen in the real brain...
  11. ncbi request reprint Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG
    Stefan J Kiebel
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3AR, UK
    Neuroimage 39:728-41. 2008
    ..We illustrate the advantage of our Bayesian scheme, using a multi-subject EEG auditory study, where we compare competing models for the generation of the N100 component...
  12. ncbi request reprint Multiple sparse priors for the M/EEG inverse problem
    Karl Friston
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 39:1104-20. 2008
    ..This means the approach automatically selects either a sparse or a distributed model, depending on the data. The scheme is compared with conventional applications of Bayesian solutions to quantify the improvement in performance...
  13. pmc EEG and MEG data analysis in SPM8
    Vladimir Litvak
    The Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, UK
    Comput Intell Neurosci 2011:852961. 2011
    ....
  14. ncbi request reprint Dynamic causal modeling of evoked responses in EEG and MEG
    Olivier David
    Wellcome Department of Imaging Neuroscience, Functional Imaging Laboratory, Institute of Neurology, UCL, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 30:1255-72. 2006
    ..These examples show that category- or context-specific coupling among cortical regions can be assessed explicitly, within a mechanistic, biologically motivated inference framework...
  15. pmc Cortical circuits for perceptual inference
    Karl Friston
    The Wellcome Trust Centre of Neuroimaging, University College London, Queen Square, London, United Kingdom
    Neural Netw 22:1093-104. 2009
    ..We then show that the brain has the necessary infrastructure to implement this inversion and present stimulations using synthetic birds that generate and recognise birdsongs...
  16. pmc Repetition suppression and plasticity in the human brain
    Marta I Garrido
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK
    Neuroimage 48:269-79. 2009
    ..It is remarkable that distinct changes in intrinsic and extrinsic connections could be quantified so reliably and non-invasively using EEG...
  17. pmc Nonlinear coupling in the human motor system
    Chun Chuan Chen
    Wellcome Trust Centre for Neuroimaging, University College London, London, UK ucl ac uk
    J Neurosci 30:8393-9. 2010
    ..Our results provide empirical evidence for nonlinear coupling among distributed neuronal sources in the motor system and that these play an important role in modulating spectral responses under normal conditions...
  18. pmc How the human brain recognizes speech in the context of changing speakers
    Katharina von Kriegstein
    Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom
    J Neurosci 30:629-38. 2010
    ..Our results point to a network account of speech recognition, in which information about the speech message and the speaker's vocal tract are combined to solve the difficult task of understanding speech from different speakers...
  19. pmc The functional anatomy of the MMN: a DCM study of the roving paradigm
    Marta I Garrido
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK
    Neuroimage 42:936-44. 2008
    ..Ilmoniemi, R.J., Levänen, S., Lin, F.H., May, P., Melcher, J., Stufflebeam, S., Tiitinen, H., Belliveau, J.W., 2004. Human posterior auditory cortex gates novel sounds to consciousness. Proc. Natl. Acad. Sci. U. S. A. 101, 6809-6814]...
  20. ncbi request reprint Variational Bayesian inference for fMRI time series
    Will Penny
    Wellcome Department of Imaging Neuroscience, University College, London WC1N 3BG, UK
    Neuroimage 19:727-41. 2003
    ..Further, VB allows for automatic selection of the order of the AR process. Results are shown on simulated data and on data from an event-related fMRI experiment...
  21. pmc Predictive coding under the free-energy principle
    Karl Friston
    The Wellcome Trust Centre of Neuroimaging, Institute of Neurology, University College LondonQueen Square, London, UK
    Philos Trans R Soc Lond B Biol Sci 364:1211-21. 2009
    ..We then show that the brain has the necessary infrastructure to implement this inversion and illustrate this point using synthetic birds that can recognize and categorize birdsongs...
  22. doi request reprint Population dynamics: variance and the sigmoid activation function
    André C Marreiros
    Wellcome Trust Centre for Neuroimaging, University College London, UK
    Neuroimage 42:147-57. 2008
    ..The importance of implicit variance in neuronal states for neural-mass models of cortical dynamics is illustrated using both synthetic data and real EEG measurements of sensory evoked responses...
  23. pdf Action and behavior: a free-energy formulation
    Karl J Friston
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, UK
    Biol Cybern 102:227-60. 2010
    ..In short, the free-energy formulation may provide an alternative perspective on the motor control that places it in an intimate relationship with perception...
  24. pmc Observing the observer (I): meta-bayesian models of learning and decision-making
    Jean Daunizeau
    Wellcome Trust Centre for Neuroimaging, University College of London, London, United Kingdom
    PLoS ONE 5:e15554. 2010
    ....
  25. pmc Reinforcement learning or active inference?
    Karl J Friston
    The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
    PLoS ONE 4:e6421. 2009
    ..The ensuing proof-of-concept may be important because the free-energy formulation furnishes a unified account of both action and perception and may speak to a reappraisal of the role of dopamine in the brain...
  26. ncbi request reprint Brain responses to the acquired moral status of faces
    Tania Singer
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College of London, London WC1N 3BG, United Kingdom
    Neuron 41:653-62. 2004
    ..Our data indicate that rapid learning regarding the moral status of others is expressed in altered neural activity within a system associated with social cognition...
  27. pmc Observing the observer (II): deciding when to decide
    Jean Daunizeau
    Wellcome Trust Centre for Neuroimaging, University College of London, London, United Kingdom
    PLoS ONE 5:e15555. 2010
    ..Finally, we illustrate how our approach can be used to quantify subjective beliefs and preferences that underlie inter-individual differences in behaviour...
  28. ncbi request reprint A Metropolis-Hastings algorithm for dynamic causal models
    Justin R Chumbley
    Wellcome Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 38:478-87. 2007
    ..Reassuringly, we observe that the posterior is, for all practical purposes, insensitive of the choice of prior...
  29. pmc Dynamic causal modelling of distributed electromagnetic responses
    Jean Daunizeau
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL 12 Queen Square, London, WC1N 3BG UK
    Neuroimage 47:590-601. 2009
    ..Here, we describe the distributed spatial model and present a comparative evaluation with conventional equivalent current dipole (ECD) models of auditory processing, as measured with EEG...
  30. pmc Dynamic causal modelling of evoked potentials: a reproducibility study
    Marta I Garrido
    The Wellcome Dept of Imaging Neuroscience, University College London, Queen Square, London, WC1N 3BG, UK
    Neuroimage 36:571-80. 2007
    ..At the group level the FB-model supervened. We discuss these findings in terms of the validity and usefulness of DCM in characterising EEG/MEG data and its ability to model ERPs in a mechanistic fashion...
  31. pmc Dynamic causal models of neural system dynamics:current state and future extensions
    Klaas E Stephan
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3BG, UK
    J Biosci 32:129-44. 2007
    ..These extensions are guided by the long-term goal of using dynamic system models for pharmacological and clinical applications, particularly with regard to synaptic plasticity...
  32. pmc Evoked brain responses are generated by feedback loops
    Marta I Garrido
    Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom
    Proc Natl Acad Sci U S A 104:20961-6. 2007
    ..This is the theoretical cornerstone of most modern theories of perceptual inference and learning...
  33. pmc Simulation of talking faces in the human brain improves auditory speech recognition
    Katharina von Kriegstein
    Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, United Kingdom
    Proc Natl Acad Sci U S A 105:6747-52. 2008
    ..We suggest that this optimization is based on speaker-specific audiovisual internal models, which are used to simulate a talking face...
  34. ncbi request reprint Parametric analysis of oscillatory activity as measured with EEG/MEG
    Stefan J Kiebel
    Wellcome Department of Imaging Neuroscience, Institute of Neurology, London, United Kingdom
    Hum Brain Mapp 26:170-7. 2005
    ..We establish the validity of parametric tests using synthetic and real data and compare its performance to established nonparametric procedures...
  35. ncbi request reprint The MR detection of neuronal depolarization during 3-Hz spike-and-wave complexes in generalized epilepsy
    Adam D Liston
    Department of Clinical and Experimental Epilepsy, Institute of Neurology, UCL Queen Square, London WC1N 3BG, UK
    Magn Reson Imaging 22:1441-4. 2004
    ..Further work is necessary before firm conclusions may be drawn about the nature of this signal...
  36. ncbi request reprint Applications of random field theory to electrophysiology
    James M Kilner
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, 12 Queen Square, London WC1N 3BG, UK
    Neurosci Lett 374:174-8. 2005
    ..Here, by analysing the time-frequency decompositions of single channel EEG data we show that RFT adjustments can be used in the analysis of electrophysiological data and illustrate the advantages of this method over existing approaches...
  37. doi request reprint Population dynamics under the Laplace assumption
    André C Marreiros
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
    Neuroimage 44:701-14. 2009
    ..The mean-field model presented here will form the basis of a dynamic causal model of observed electromagnetic signals in future work...
  38. pmc Dynamic causal modeling of the response to frequency deviants
    Marta I Garrido
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, UK WC1N 3BG
    J Neurophysiol 101:2620-31. 2009
    ..We consider these mechanisms in the light of predictive coding and hierarchical inference in the brain...
  39. ncbi request reprint Statistical parametric mapping for event-related potentials: I. Generic considerations
    Stefan J Kiebel
    Functional Imaging Laboratory, Wellcome Department of Imaging Neuroscience, Institute of Neurology, WC1N 3BG, London, UK
    Neuroimage 22:492-502. 2004
    ..In a companion paper, we develop statistical models of ERPs in the time domain that follow from the heuristics established here and illustrate the approach using simulated and real data...
  40. pmc A dynamic causal model study of neuronal population dynamics
    André C Marreiros
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UCL, 12 Queen Square, London, UK WC1N 3BG, UK
    Neuroimage 51:91-101. 2010
    ....
  41. pmc How humans integrate the prospects of pain and reward during choice
    Deborah Talmi
    Wellcome Trust Centre for Neuroimaging, University College London UCL, London WC1N 3BG, United Kingdom
    J Neurosci 29:14617-26. 2009
    ....