Publications of Prof. Dr. rer. nat. Stefan Kiebel

Marković, D., Friston, K. J., Kiebel, S. J. (2024).  Bayesian sparsification for deep neural networks with Bayesian model reduction. IEEE Access, doi:10.1109/ACCESS.2024.3417219

Cuevas Rivera, D., Kiebel, S. (2023) The effects of probabilistic context inference on motor adaptation. PLOS ONE 18(7): e0286749. doi:10.1371/journal.pone.0286749

Frölich, S., Esmeyer, M., Endrass, T., Smolka, M. N., & Kiebel, S. J. (2023). Interaction between habits as action sequences and goal-directed behavior under time pressure. Frontiers in Neuroscience, 16. doi:10.3389/fnins.2022.996957

Steffen, J., Markovic, D., Gloeckner, F., Neukam, P. T., Kiebel, S. J., Li, S. C., et al. (2023). Shorter planning depth and higher response noise during sequential decision-making in old age. Scientific Reports, 13(1). doi:10.1038/s41598-023-33274-0

Sebold, M., Kiebel, S. J., Smolka, M. N., Heinz, A., & Deserno, L. (2022). Computational Theories of Alcohol Use Disorder: Mapping Learning and Choice Mechanisms on Symptoms. Neuropsychobiology, 81(5), 339-356. doi:10.1159/000527146

Graf, J., Rahmati, V., Majoros, M., Witte, O. W., Geis, C., Kiebel, S. J., et al. (2022). Network instability dynamics drive a transient bursting period in the developing hippocampus in vivo. Elife, 11. doi:10.7554/eLife.82756

Ott, F., Legler, E., Kiebel, S. J. (2022). Forward planning driven by context-dependent conflict processing in anterior cingulate cortex. NeuroImage, 256, 119222. doi:10.1016/j.neuroimage.2022.119222

Fard, P. R. , Bitzer, S., Pannasch, S. & Kiebel, S. J. (2022). Stochastic Motion Stimuli Influence Perceptual Choices in Human Participants. Frontiers in Neuroscience, 15 doi:10.3389/fnins.2021.749728

Markovic, D., Reiter, A. M. F., & Kiebel, S. J. (2022). Revealing human sensitivity to a latent temporal structure of changes. Frontiers in Behavioral Neuroscience, 16. doi:10.3389/fnbeh.2022.962494

Markovic, D., Stojic, H., Schwobel, S., & Kiebel, S. J. (2021). An empirical evaluation of active inference in multi-armed bandits. Neural Networks, 144, 229-246. doi:10.1016/j.neunet.2021.08.018

Frölich, S., Markovic, D., & Kiebel, S. J. (2021). Neuronal Sequence Models for Bayesian Online Inference. Frontiers in Artificial Intelligence. doi:10.3389/frai.2021.530937

Kuhrt, C., Pannasch, S., Kiebel, S. J., & Strobel, A. (2021). Dispositional individual differences in cognitive effort investment: establishing the core construct. BMC Psychol, 9(1), 10. doi:10.1186/s40359-021-00512-x

Schwöbel, S., Markovic, D., Smolka, M. N., & Kiebel, S. J. (2021). Balancing control: A Bayesian interpretation of habitual and goal-directed behavior. Journal of Mathematical Psychology, 100. doi:10.1016/j.jmp.2020.102472

Graf, J., Zhang, C., Marguet, S. L., Herrmann, T., Flossmann, T., Hinsch, R., et al. (2021). A limited role of NKCC1 in telencephalic glutamatergic neurons for developing hippocampal network dynamics and behavior. Proceedings of the National Academy of Sciences, 118(14), e2014784118. doi:10.1073/pnas.2014784118

Baier, C., Cuevas Rivera, D., Dubslaff, C., Kiebel, S. J. (2021) Human-inspired models for tactile computing
In: Fitzek, F. H. P.; Li, S.-C., Speidel, S., Strufe, T., Şimşek, M., Reisslein, M. (Publisher.): Tactile Internet with Human-in-the-Loop, Chapter 8, p. 173–200, Academic Press, 2021. https://doi.org/10.1016/B978-0-12-821343-8.00019-8

Markovic, D., Goschke, T., & Kiebel, S. J. (2021). Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales. Cognitive Affective & Behavioral Neuroscience, 21(3), 509-533. doi:10.3758/s13415-020-00837-x

2020

Tabas, A., Mihai, G., Kiebel, S.J., Trampel, R., & von Kriegstein, K. (2020). Abstract rules drive adaptation in the subcortical sensory pathway. Elife, 9. doi:10.7554/eLife.64501

Heinz, A., Kiefer, F., Smolka, M. N., Endrass, T., Beste, C., Beck, A., et al. (2020). Addiction Research Consortium: Losing and regaining control over drug intake (ReCoDe)-From trajectories to mechanisms and interventions. Addict Biol, 25(2), e12866. doi:10.1111/adb.12866

Bitzer, S., Park, H., Maess, B., von Kriegstein, K., & Kiebel, S. J. (2020). Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Front Hum Neurosci, 14, 9. doi:10.3389/fnhum.2020.00009

Graf, J., Zhang, C., Marguet, S. L., Herrmann, T., Flossmann, T., Hinsch, R., et al. (2020). Intraneuronal chloride accumulation via NKCC1 is not essential for hippocampal network development in vivo. bioRxiv, 2020.2007.2013.200014. doi:10.1101/2020.07.13.200014

Strobel, A., Wieder, G., Paulus, P. C., Ott, F., Pannasch, S., Kiebel, S. J., & Kührt, C. (2020). Dispositional cognitive effort investment and behavioral demand avoidance: Are they related?. PloS one, 15(10), doi: https://doi.org/10.1371/journal.pone.0239817

Cuevas Rivera, D., Strobel, A., Goschke, T., & Kiebel, S. J. (2020). Modeling Dynamic Allocation of Effort in a Sequential Task Using Discounting Models. Frontiers in Neuroscience, 14. doi:10.3389/fnins.2020.00242

Ott F, Marković D, Strobel A, Kiebel S. J. (2020) Dynamic integration of forward planning and heuristic preferences during multiple goal pursuit. PLoS Comput Biol 16(2): e1007685. doi: 10.1371/journal.pcbi.1007685

Mihai, P. G., Moerel, M., de Martino, F., Trampel, R., Kiebel, S. J., & von Kriegstein, K. (2019). Modulation of tonotopic ventral medial geniculate body is behaviorally relevant for speech recognition. Elife 8, e44837. doi:10.7554/eLife.44837

Parr, T., Markovic, D., Kiebel, S. J., & Friston, K. J. (2019). Neuronal message passing using Mean-field, Bethe, and Marginal approximations. Scientific Reports, 9. doi:10.1038/s41598-018-38246-3

Markovic, D., Reiter, A. M. F., & Kiebel, S. J. (2019). Predicting change: Approximate inference under explicit representation of temporal structure in changing environments. Plos Computational Biology, 15(1). doi:10.1371/journal.pcbi.1006707

Flossmann, T., Kaas, T., Rahmati, V., Kiebel, S. J., Witte, O. W., Holthoff, K., & Kirmse, K. (2019). Somatostatin Interneurons Promote Neuronal Synchrony in the Neonatal Hippocampus. Cell Reports, 26(12), 3173-+. doi:10.1016/j.celrep.2019.02.061

Schwobel, S., Kiebel, S., & Markovic, D. (2018). Active Inference, Belief Propagation, and the Bethe Approximation. Neural Comput, 30(9), 2530-2567. doi:10.1162/neco_a_01108

Rivera, D. C., Ott, F., Markovic, D., Strobel, A., & Kiebel, S. J. (2018). Context-Dependent Risk Aversion: A Model-Based Approach. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.02053

Rahmati, V., Kirmse, K., Holthoff, K., & Kiebel, S. J. (2018). Ultra-fast accurate reconstruction of spiking activity from calcium imaging data. Journal of Neurophysiology, 119(5), 1863-1878. doi:10.1152/jn.00934.2017

Bernardoni, F., Geisler, D., King, J. A., Javadi, A. H., Ritschel, F., Murr, J., Reiter, A. M. F., Rossner, V., Smolka, M. N., Kiebel, S., & Ehrlich, S. (2018). Altered Medial Frontal Feedback Learning Signals in Anorexia Nervosa. Biol Psychiatry, 83(3), 235-243. doi:10.1016/j.biopsych.2017.07.024

Rahmati, V., Kirmse, K., Holthoff, K., Schwabe, L., & Kiebel, S. J. (2017). Developmental Emergence of Sparse Coding: A Dynamic Systems Approach. Scientific Reports, 7. doi:10.1038/s41598-017-13468-z

Fard, P. R., Park, H., Warkentin, A., Kiebel, S. J., & Bitzer, S. (2017). A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making. Frontiers in Computational Neuroscience, 11. doi:10.3389/fncom.2017.00029

Rahmati, V., Kirmse, K., Markovic, D., Holthoff, K., & Kiebel, S. J. (2016). Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference. Plos Computational Biology, 12(2). doi:10.1038/s41598-017-13468-z

Park, H., Lueckmann, J. M., von Kriegstein, K., Bitzer, S., & Kiebel, S. J. (2016). Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision making. Scientific Reports, 6. doi:10.1038/srep18832

Markovic, D., & Kiebel, S. J. (2016). Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments. Frontiers in Computational Neuroscience, 10. doi:10.3389/fncom.2016.00033

2015

Taubert, M., Wenzel, U., Draganski, B., Kiebel, S. J., Ragert, P., Krug, J., & Villringer, A. (2015). Investigating Neuroanatomical Features in Top Athletes at the Single Subject Level. Plos One, 10(6). doi:10.1371/journal.pone.0129508

Schall, S., Kiebel, S. J., Maess, B., & von Kriegstein, K. (2015). Voice Identity Recognition: Functional Division of the Right STS and Its Behavioral Relevance. Journal of Cognitive Neuroscience, 27(2), 280-291. doi:10.1162/jocn_a_00707

Rivera, D. C., Bitzer, S., & Kiebel, S. J. (2015). Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference. Plos Computational Biology, 11(10). doi:10.1371/journal.pcbi.1004528

Riedel, P., Ragert, P., Schelinski, S., Kiebel, S. J., & von Kriegstein, K. (2015). Visual face-movement sensitive cortex is relevant for auditory-only speech recognition. Cortex, 68, 86-99. doi:10.1016/j.cortex.2014.11.016

Markovic, D., Glascher, J., Bossaerts, P., O'Doherty, J., & Kiebel, S. J. (2015). Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism. Plos Computational Biology, 11(10). doi:10.1371/journal.pcbi.1004558

Blank, H., Kiebel, S. J., & von Kriegstein, K. (2015). How the Human Brain Exchanges Information Across Sensory Modalities to Recognize Other People. Human Brain Mapping, 36(1), 324-339. doi:10.1002/hbm.22631

Bitzer, S., & Kiebel, S. J. (2015). The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions. Advances in Neural Information Processing Systems 28 (Nips 2015), 28.

Bitzer, S., Bruineberg, J., & Kiebel, S. J. (2015). A Bayesian Attractor Model for Perceptual Decision Making. Plos Computational Biology, 11(8). doi:10.1371/journal.pcbi.1004442

2014

Schaefer, A., Margulies, D. S., Lohmann, G., Gorgolewski, K. J., Smallwood, J., Kiebel, S. J., & Villringer, A. (2014). Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Frontiers in Human Neuroscience, 8. doi:10.3389/fnhum.2014.00195

Bitzer, S., Park, H., Blankenburg, F., & Kiebel, S. J. (2014). Perceptual decision making: drift-diffusion model is equivalent to a Bayesian model. Frontiers in Human Neuroscience, 8. doi:10.3389/fnhum.2014.00102

2013

Yildiz, I. B., von Kriegstein, K., & Kiebel, S. J. (2013). From Birdsong to Human Speech Recognition: Bayesian Inference on a Hierarchy of Nonlinear Dynamical Systems. Plos Computational Biology, 9(9). doi:10.1371/journal.pcbi.1003219

Schall, S., Kiebel, S. J., Maess, B., & von Kriegstein, K. (2013). Early auditory sensory processing of voices is facilitated by visual mechanisms. Neuroimage, 77, 237-245. doi:10.1016/j.neuroimage.2013.03.043

2012

Yildiz, I. B., Jaeger, H., & Kiebel, S. J. (2012). Re-visiting the echo state property. Neural Networks, 35, 1-9. doi:10.1016/j.neunet.2012.07.005

Ostwald, D., Spitzer, B., Guggenmos, M., Schmidt, T. T., Kiebel, S. J., & Blankenburg, F. (2012). Evidence for neural encoding of Bayesian surprise in human somatosensation. Neuroimage, 62(1), 177-188. doi:10.1016/j.neuroimage.2012.04.050

Meyer, L., Obleser, J., Kiebel, S. J., & Friederici, A. D. (2012). Spatiotemporal dynamics of argument retrieval and reordering: an fMRI and EEG study on sentence processing. Frontiers in Psychology, 3. doi:10.3389/fpsyg.2012.00523

Diaz, B., Hintz, F., Kiebel, S. J., & von Kriegstein, K. (2012). Dysfunction of the auditory thalamus in developmental dyslexia. Proceedings of the National Academy of Sciences of the United States of America, 109(34), 13841-13846. doi:10.1073/pnas.1119828109

Chen, C. C., Kiebel, S. J., Kilner, J. M., Ward, N. S., Stephan, K. E., Wang, W. J., & Friston, K. J. (2012). A dynamic causal model for evoked and induced responses. Neuroimage, 59(1), 340-348. doi:10.1016/j.neuroimage.2011.07.066

Bitzer, S., & Kiebel, S. J. (2012). Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks. Biological Cybernetics, 106(4-5), 201-217. doi:10.1007/s00422-012-0490-x

2011

Yildiz, I. B., & Kiebel, S. J. (2011). A Hierarchical Neuronal Model for Generation and Online Recognition of Birdsongs. Plos Computational Biology, 7(12). doi:10.1371/journal.pcbi.1002303

Litvak, V., Mattout, J., Kiebel, S., Phillips, C., Henson, R., Kilner, J., Barnes, G., Oostenveld, R., Daunizeau, J., Flandin, G., Penny, W., & Friston, K. (2011). EEG and MEG Data Analysis in SPM8. Computational Intelligence and Neuroscience. doi:10.1155/2011/852961

Kiebel, S. J., & Friston, K. J. (2011). Free energy and dendritic self-organization. Frontiers in Systems Neuroscience, 5. doi:10.3389/fnsys.2011.00080

2010

von Kriegstein, K., Smith, D. R. R., Patterson, R. D., Kiebel, S. J., & Griffiths, T. D. (2010). How the Human Brain Recognizes Speech in the Context of Changing Speakers. Journal of Neuroscience, 30(2), 629-638. doi:10.1523/JNEUROSCI.2742-09.2010

Spiegler, A., Kiebel, S. J., Atay, F. M., & Knosche, T. R. (2010). Bifurcation analysis of neural mass models: Impact of extrinsic inputs and dendritic time constants. Neuroimage, 52(3), 1041-1058. doi:10.1016/j.neuroimage.2009.12.081

Rotshtein, P., Richardson, M. P., Winston, J. S., Kiebel, S. J., Vuilleumier, P., Eimer, M., Driver, J., & Dolan, R. J. (2010). Amygdala Damage Affects Event-Related Potentials for Fearful Faces at Specific Time Windows. Human Brain Mapping, 31(7), 1089-1105. doi:10.1002/hbm.20921

Marreiros, A. C., Kiebel, S. J., & Friston, K. J. (2010). A dynamic causal model study of neuronal population dynamics. Neuroimage, 51(1), 91-101. doi:10.1016/j.neuroimage.2010.01.098

Furl, N., van Rijsbergen, N. J., Kiebel, S. J., Friston, K. J., Treves, A., & Dolan, R. J. (2010). Modulation of Perception and Brain Activity by Predictable Trajectories of Facial Expressions. Cerebral Cortex, 20(3), 694-703. doi:10.1093/cercor/bhp140

Friston, K. J., Daunizeau, J., Kilner, J., & Kiebel, S. J. (2010). Action and behavior: a free-energy formulation. Biological Cybernetics, 102(3), 227-260. doi:10.1007/s00422-010-0364-z

Daunizeau, J., den Ouden, H. E. M., Pessiglione, M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2010). Observing the Observer (I): Meta-Bayesian Models of Learning and Decision-Making. Plos One, 5(12). doi:10.1371/journal.pone.0015554

Daunizeau, J., den Ouden, H. E. M., Pessiglione, M., Kiebel, S. J., Friston, K. J., & Stephan, K. E. (2010). Observing the Observer (II): Deciding When to Decide. Plos One, 5(12). doi:10.1371/journal.pone.0015555

Chen, C. C., Kilner, J. M., Friston, K. J., Kiebel, S. J., Jolly, R. K., & Ward, N. S. (2010). Nonlinear Coupling in the Human Motor System. Journal of Neuroscience, 30(25), 8393-8399. doi:10.1523/JNEUROSCI.1194-09.2010

2009

Vaudano, A. E., Laufs, H., Kiebel, S. J., Carmichael, D. W., Hamandi, K., Guye, M., Thornton, R., Rodionov, R., Friston, K. J., Duncan, J. S., & Lemieux, L. (2009). Causal Hierarchy within the Thalamo-Cortical Network in Spike and Wave Discharges. Plos One, 4(8). doi:10.1371/journal.pone.0006475

Talmi, D., Dayan, P., Kiebel, S. J., Frith, C. D., & Dolan, R. J. (2009). How Humans Integrate the Prospects of Pain and Reward during Choice. Journal of Neuroscience, 29(46), 14617-14626. doi:10.1523/JNEUROSCI.2026-09.2009

Schofield, T. M., Iverson, P., Kiebel, S. J., Stephan, K. E., Kilner, J. M., Friston, K. J., Crinion, J. T., Price, C. J., & Leff, A. P. (2009). Changing meaning causes coupling changes within higher levels of the cortical hierarchy. Proceedings of the National Academy of Sciences of the United States of America, 106(28), 11765-11770. doi:10.1073/pnas.0811402106

Marreiros, A. C., Kiebel, S. J., Daunizeau, J., Harrison, L. M., & Friston, K. J. (2009). Population dynamics under the Laplace assumption. Neuroimage, 44(3), 701-714. doi:10.1016/j.neuroimage.2008.10.008

Kiebel, S. J., von Kriegstein, K., Daunizeau, J., & Friston, K. J. (2009). Recognizing Sequences of Sequences. Plos Computational Biology, 5(8). doi:10.1371/journal.pcbi.1000464

Kiebel, S. J., Garrido, M. I., Moran, R., Chen, C. C., & Friston, K. J. (2009). Dynamic Causal Modeling for EEG and MEG. Human Brain Mapping, 30(6), 1866-1876. doi:10.1002/hbm.20775

Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2009). Perception and hierarchical dynamics. Front Neuroinform, 3, 20. doi:10.3389/neuro.11.020.2009

Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Friston, K. J. (2009). Repetition suppression and plasticity in the human brain. Neuroimage, 48(1), 269-279. doi:10.1016/j.neuroimage.2009.06.034

Garrido, M. I., Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2009). Dynamic Causal Modeling of the Response to Frequency Deviants. Journal of Neurophysiology, 101(5), 2620-2631. doi:10.1152/jn.90291.2008

Friston, K. J., Daunizeau, J., & Kiebel, S. J. (2009). Reinforcement Learning or Active Inference? Plos One, 4(7). doi:10.1371/journal.pone.0006421

Friston, K., & Kiebel, S. (2009). Predictive coding under the free-energy principle. Philos Trans R Soc Lond B Biol Sci, 364(1521), 1211-1221. doi:10.1098/rstb.2008.0300

Friston, K., & Kiebel, S. (2009). Cortical circuits for perceptual inference. Neural Netw, 22(8), 1093-1104. doi:10.1016/j.neunet.2009.07.023

Fastenrath, M., Friston, K. J., & Kiebel, S. J. (2009). Dynamical causal modelling for M/EEG: Spatial and temporal symmetry constraints. Neuroimage, 44(1), 154-163. doi:10.1016/j.neuroimage.2008.07.041

Daunizeau, J., Kiebel, S. J., & Friston, K. J. (2009). Dynamic causal modelling of distributed electromagnetic responses. Neuroimage, 47(2), 590-601. doi:10.1016/j.neuroimage.2009.04.062

Daunizeau, J., Friston, K. J., & Kiebel, S. J. (2009). Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models. Physica D-Nonlinear Phenomena, 238(21), 2089-2118. doi:10.1016/j.physd.2009.08.002

2008

von Kriegstein, K., Dogan, O., Gruter, M., Giraud, A. L., Kell, C. A., Gruter, T., Kleinschmidt, A., & Kiebel, S. J. (2008). Simulation of talking faces in the human brain improves auditory speech recognition. Proceedings of the National Academy of Sciences of the United States of America, 105(18), 6747-6752. doi:10.1073/pnas.0710826105

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). Bayesian estimation of synaptic physiology from the spectral responses of neural masses. Neuroimage, 42(1), 272-284. doi:10.1016/j.neuroimage.2008.01.025

Marreiros, A. C., Kiebel, S. J., & Friston, K. J. (2008). Dynamic causal modelling for fMRI: A two-state model. Neuroimage, 39(1), 269-278. doi:10.1016/j.neuroimage.2007.08.019

Marreiros, A. C., Daunizeau, J., Kiebel, S. J., & Friston, K. J. (2008). Population dynamics: Variance and the sigmoid activation function. Neuroimage, 42(1), 147-157. doi:10.1016/j.neuroimage.2008.04.239

Kiebel, S. J., Garrido, M. I., Moran, R. J., & Friston, K. J. (2008). Dynamic causal modelling for EEG and MEG. Cognitive Neurodynamics, 2(2), 121-136. doi:10.1007/s11571-008-9038-0

Kiebel, S. J., Daunizeau, J., Phillips, C., & Friston, K. J. (2008). Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG. Neuroimage, 39(2), 728-741. doi:10.1016/j.neuroimage.2007.09.005

Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2008). A Hierarchy of Time-Scales and the Brain. Plos Computational Biology, 4(11). doi:10.1371/journal.pcbi.1000209

Garrido, M. I., Friston, K. J., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Kilner, J. M. (2008). The functional anatomy of the MMN: A DCM study of the roving paradigm. Neuroimage, 42(2), 936-944. doi:10.1016/j.neuroimage.2008.05.018

Friston, K., Harrison, L., Daunizeau, J., Kiebel, S., Phillips, C., Trujillo-Barreto, N., Henson, R., Flandin, G., & Mattout, J. (2008). Multiple sparse priors for the M/EEG inverse problem. Neuroimage, 39(3), 1104-1120. doi:10.1016/j.neuroimage.2007.09.048

2007

Stephan, K. E., Harrison, L. M., Kiebel, S. J., David, O., Penny, W. D., & Friston, K. J. (2007). Dynamic causal models of neural system dynamics: current state and future extensions. Journal of Biosciences, 32(1), 129-144. doi:10.1007/s12038-007-0012-5

Moran, R. J., Kiebel, S. J., Stephan, K. E., Reilly, R. B., Daunizeau, J., & Friston, K. J. (2007). A neural mass model of spectral responses in electrophysiology. Neuroimage, 37(3), 706-720. doi:10.1016/j.neuroimage.2007.05.032

Koh, P. H., Glaser, D. E., Flandin, G., Kiebel, S., Butterworth, B., Maki, A., Delpy, D. T., & Elwell, C. E. (2007). Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping. J Biomed Opt, 12(6), 064010. doi:10.1117/1.2804092

Kiebel, S. J., Kloppel, S., Weiskopf, N., & Friston, K. J. (2007). Dynamic causal modeling: A generative model of slice timing in fMRI. Neuroimage, 34(4), 1487-1496. doi:10.1016/j.neuroimage.2006.10.026

Kiebel, S. J., Garrido, M. I., & Friston, K. J. (2007). Dynamic causal modelling of evoked responses: The role of intrinsic connections. Neuroimage, 36(2), 332-345. doi:10.1016/j.neuroimage.2007.02.046

Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2007). Dynamic causal modelling of evoked potentials: A reproducibility study. Neuroimage, 36(3), 571-580. doi:10.1016/j.neuroimage.2007.03.014

Garrido, M. I., Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2007). Evoked brain responses are generated by feedback loops. Proceedings of the National Academy of Sciences of the United States of America, 104(52), 20961-20966. doi:10.1073/pnas.0706274105

Chumbley, J. R., Friston, K. J., Fearn, T., & Kiebel, S. J. (2007). A Metropolis-Hastings algorithm for dynamic causal models. Neuroimage, 38(3), 478-487. doi:10.1016/j.neuroimage.2007.07.028

Mouridsen, K., Friston, K., Hjort, N., Gyldensted, L., Ostergaard, L., & Kiebel, S. (2006). Bayesian estimation of cerebral perfusion using a physiological model of microvasculature. Neuroimage, 33(2), 570-579. doi:10.1016/j.neuroimage.2006.06.015

2006

Kiebel, S. J., David, O., & Friston, K. J. (2006). Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization. Neuroimage, 30(4), 1273-1284. doi:10.1016/j.neuroimage.2005.12.055

David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006). Dynamic causal modeling of evoked responses in EEG and MEG. Neuroimage, 30(4), 1255-1272. doi:10.1016/j.neuroimage.2005.10.045

2005

Noppeney, U., Josephs, O., Kiebel, S., Friston, K. J., & Price, C. J. (2005). Action selectivity in parietal and temporal cortex. Brain Res Cogn Brain Res, 25(3), 641-649. doi:10.1016/j.cogbrainres.2005.08.017

Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2005). Applications of random field theory to electrophysiology. Neuroscience Letters, 374(3), 174-178. doi:10.1016/j.neulet.2004.10.052

Kiebel, S. J., Tallon-Baudry, C., & Friston, K. J. (2005). Parametric analysis of oscillatory activity as measured with EEG/MEG. Human Brain Mapping, 26(3), 170-177. doi:10.1002/hbm.20153

Friston, K. J., Stephan, K. E., Lund, T. E., Morcom, A., & Kiebel, S. (2005). Mixed-effects and fMRI studies. Neuroimage, 24(1), 244-252. doi:10.1016/j.neuroimage.2004.08.055

2004

Singer, T., Kiebel, S. J., Winston, J. S., Dolan, R. J., & Frith, C. D. (2004). Brain responses to the acquired moral status of faces. Neuron, 41(4), 653-662. doi:10.1016/S0896-6273(04)00014-5

Liston, A. D., Salek-Haddadi, A., Kiebel, S. J., Hamandi, K., Turner, R., & Lemieux, L. (2004). The MR detection of neuronal depolarization during 3-Hz spike-and-wave complexes in generalized epilepsy. Magnetic Resonance Imaging, 22(10), 1441-1444. doi:10.1016/j.mri.2004.10.017

Kiebel, S. J., & Friston, K. J. (2004). Statistical parametric mapping for event-related potentials (II): a hierarchical temporal model. Neuroimage, 22(2), 503-520. doi:10.1016/j.neuroimage.2004.02.013

Kiebel, S. J., & Friston, K. J. (2004). Statistical parametric mapping for event-related potentials: I. Generic considerations. Neuroimage, 22(2), 492-502. doi:10.1016/j.neuroimage.2004.02.012

2003

Kiebel, S. J., Glaser, D. E., & Friston, K. J. (2003). A heuristic for the degrees of freedom of statistics based on multiple variance parameters. Neuroimage, 20(1), 591-600. doi:10.1016/S1053-8119(03)00308-2

2002

Penny, W. D., Kiebel, S. J., Kilner, J. M., & Rugg, M. D. (2002). Event-related brain dynamics. Trends in Neurosciences, 25(8), 387-389. doi:10.1016/S0166-2236(02)02202-6

Kiebel, S., & Friston, K. J. (2002). Anatomically informed basis functions in multisubject studies. Hum Brain Mapp, 16(1), 36-46. doi:10.1002/hbm.10021

Hamzei, F., Dettmers, C., Rijntjes, M., Glauche, V., Kiebel, S., Weber, B., & Weiller, C. (2002). Visuomotor control within a distributed parieto-frontal network. Experimental Brain Research, 146(3), 273-281. doi:10.1007/s00221-002-1139-0

Friston, K. J., Penny, W., Phillips, C., Kiebel, S., Hinton, G., & Ashburner, J. (2002). Classical and Bayesian inference in neuroimaging: theory. Neuroimage, 16(2), 465-483. doi:10.1006/nimg.2002.1090

Friston, K. J., Glaser, D. E., Henson, R. N. A., Kiebel, S., Phillips, C., & Ashburner, J. (2002). Classical and Bayesian inference in neuroimaging: Applications. Neuroimage, 16(2), 484-512. doi:10.1006/nimg.2002.1091

2001

Kiebel, S. J., & Friston, K. J. (2001). Analysis of multisubject neuroimaging data using anatomically informed basis functions. Neuroimage, 13(6), S172-S172.

Hamzei, F., Liepert, J., Dettmers, C., Adler, T., Kiebel, S., Rijntjes, M., & Weiller, C. (2001). Structural and functional cortical abnormalities after upper limb amputation during childhood. Neuroreport, 12(5), 957-962. doi:10.1097/00001756-200104170-00019

2000

Kiebel, S. J., Goebel, R., & Friston, K. J. (2000). Anatomically informed basis functions. Neuroimage, 11(6 Pt 1), 656-667. doi:10.1006/nimg.1999.0542

1999

Rijntjes, M., Dettmers, C., Buchel, C., Kiebel, S., Frackowiak, R. S., & Weiller, C. (1999). A blueprint for movement: functional and anatomical representations in the human motor system. J Neurosci, 19(18), 8043-8048. doi:10.1523/JNEUROSCI.19-18-08043.1999

Rijntjes, M., Buechel, C., Kiebel, S., & Weiller, C. (1999). Multiple somatotopic representations in the human cerebellum. Neuroreport, 10(17), 3653-3658. doi:10.1097/00001756-199911260-00035

Musso, M., Weiller, C., Kiebel, S., Muller, S. P., Bulau, P., & Rijntjes, M. (1999). Training-induced brain plasticity in aphasia. Brain, 122 ( Pt 9), 1781-1790. doi:10.1093/brain/122.9.1781

Kiebel, S. J., Poline, J. B., Friston, K. J., Holmes, A. P., & Worsley, K. J. (1999). Robust smoothness estimation in statistical parametric maps using standardized residuals from the general linear model. Neuroimage, 10(6), 756-766. doi:10.1006/nimg.1999.0508

Gaser, C., Volz, H. P., Kiebel, S., Riehemann, S., & Sauer, H. (1999). Detecting structural changes in whole brain based on nonlinear deformations - Application to schizophrenia research. Neuroimage, 10(2), 107-113. doi:10.1006/nimg.1999.0458

1997

Rijntjes, M., Tegenthoff, M., Liepert, J., Leonhardt, G., Kotterba, S., Muller, S., Kiebel, S., Malin, J. P., Diener, H. C., & Weiller, C. (1997). Cortical reorganization in patients with facial palsy. Ann Neurol, 41(5), 621-630. doi:10.1002/ana.410410511

Kiebel, S. J., Ashburner, J., Poline, J. B., & Friston, K. J. (1997). MRI and PET coregistration - A cross validation of statistical parametric mapping and automated image registration. Neuroimage, 5(4), 271-279. doi:10.1006/nimg.1997.0265

1996

Weiller, C., Juptner, M., Fellows, S., Rijntjes, M., Leonhardt, G., Kiebel, S., Muller, S., Diener, H. C., & Thilmann, A. F. (1996). Brain representation of active and passive movements. Neuroimage, 4(2), 105-110. doi:10.1006/nimg.1996.0034