Kiebel, Stefan J.
Centre for Tactile Internet with Human-in-the-Loop · Technische Universität Dresden
19 papers on CoChatORCID 0000-0002-5052-1117
Most cited papers
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Predictive coding under the free-energy principle
Friston, K., & Kiebel, S. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences
Embodied and Extended CognitionNeural dynamics and brain function
Cited by 1,579
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A Hierarchy of Time-Scales and the Brain
Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2008) · PLoS Computational Biology
Neural dynamics and brain functionMemory and Neural Mechanisms
Cited by 694
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Dynamic causal modeling of evoked responses in EEG and MEG
David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006) · NeuroImage
Neural dynamics and brain functionEEG and Brain-Computer Interfaces
Cited by 620
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Multiple sparse priors for the M/EEG inverse problem.
Friston, K., Harrison, L., Daunizeau, J., Kiebel, S., Phillips, C., Trujillo-Barreto, N., Henson, R., Flandin, G., & Mattout, J. (2008) · NeuroImage
EEG and Brain-Computer InterfacesNumerical methods in inverse problems
Cited by 589
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The functional anatomy of the MMN: a DCM study of the roving paradigm
Garrido, M. I., Friston, K. J., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Kilner, J. M. (2008) · NeuroImage
Neuroscience and Music PerceptionNeural dynamics and brain function
Cited by 458
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Reinforcement learning or active inference?
Friston, K. J., Daunizeau, J., & Kiebel, S. J. (2009) · PLoS ONE
Embodied and Extended CognitionReinforcement Learning in Robotics
Cited by 443
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Evoked brain responses are generated by feedback loops
Garrido, M. I., Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2007) · Proceedings of the National Academy of Sciences
Neural dynamics and brain functionFunctional Brain Connectivity Studies
Cited by 296
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Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization
Kiebel, S. J., David, O., & Friston, K. J. (2006) · NeuroImage
Functional Brain Connectivity StudiesNeural dynamics and brain function
Cited by 233
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Repetition suppression and plasticity in the human brain
Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Friston, K. J. (2009) · NeuroImage
Neuroscience and Music PerceptionNeural dynamics and brain function
Cited by 223
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Dynamic causal modelling for EEG and MEG
Kiebel, S. J., Garrido, M. I., Moran, R. J., & Friston, K. J. (2008) · Cognitive Neurodynamics
Functional Brain Connectivity StudiesNeural dynamics and brain function
Cited by 211
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Observing the observer (I): meta-bayesian models of learning and decision-making
Daunizeau, J., den Ouden, H. E. M., Pessiglione, M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2010) · PLoS ONE
Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics
Cited by 167
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Dynamic causal modelling of induced responses
Chen, C. C., Kiebel, S. J., & Friston, K. J. (2008) · NeuroImage
Neural dynamics and brain functionFunctional Brain Connectivity Studies
Cited by 136
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Neuronal message passing using mean-field, bethe, and marginal approximations
Parr, T., Markovic, D., Kiebel, S. J., & Friston, K. J. (2019) · Scientific Reports
Bayesian Modeling and Causal InferenceNeural dynamics and brain function
Cited by 128
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Bayesian estimation of synaptic physiology from the spectral responses of neural masses
Moran, R. J., Stephan, K. E., Kiebel, S. J., Rombach, N., O'Connor, W. T., Murphy, K. J., Reilly, R. B., & Friston, K. J. (2008) · NeuroImage
Neural dynamics and brain functionNeuroscience and Neuropharmacology Research
Cited by 126
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Dynamic causal modeling: a generative model of slice timing in fMRI
Kiebel, S. J., Klöppel, S., Weiskopf, N., & Friston, K. J. (2007) · NeuroImage
Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications
Cited by 92
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Free Energy and Dendritic Self-Organization
Kiebel, S. J., & Friston, K. J. (2011) · Frontiers in Systems Neuroscience
Embodied and Extended CognitionNeural dynamics and brain function
Cited by 68
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From birdsong to human speech recognition: Bayesian inference on a hierarchy of nonlinear dynamical systems
Yildiz, I. B., von Kriegstein, K., & Kiebel, S. J. (2013) · PLoS Computational Biology
Speech Recognition and SynthesisAnimal Vocal Communication and Behavior
Cited by 55
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A Metropolis-Hastings algorithm for dynamic causal models.
Chumbley, J. R., Friston, K. J., Fearn, T., & Kiebel, S. J. (2007) · NeuroImage
Functional Brain Connectivity StudiesMarkov Chains and Monte Carlo Methods
Cited by 42
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Revealing human sensitivity to a latent temporal structure of changes
Marković, D., Reiter, A. M. F., & Kiebel, S. J. (2022) · Frontiers in Behavioral Neuroscience
Neural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics
Cited by 2
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