Veröffentlichungen
Peer-reviewed
under review
Wagner, B. J., Wolf, H. B., & Kiebel, S. J. (2025). Explaining decision biases through context-dependent repetition. bioRxiv, 2024.2010.2009.617399. doi:10.1101/2024.10.09.617399
Frölich, S., Wagner, B. J., Smolka, M. N., & Kiebel, S. J. (2024). Context-Dependent Interaction Between Goal-Directed and Habitual Control Under Time Pressure. bioRxiv, 2024.2009.2028.615575. doi:10.1101/2024.09.28.615575
2025
Legler, E., Cuevas Rivera, D., Schwöbel, S., Wagner, B. J., & Kiebel, S. (2025). Cognitive computational model reveals repetition bias in a sequential decision-making task. Communications Psychology 3, 92. doi:10.1038/s44271-025-00271-0
Mittenbuhler, M., Schwoebel, S., Dignath, D., Kiebel, S. , Butz , MV. (2025) A Rational Trade-Off Between the Costs and Benefits of Automatic and Controlled Processing. Proceedings of the Annual Meeting of the Cognitive Science Society 46. doi:10.31234/osf.io/gbcxq
2024
Spanagel, R., Bach, P., Banaschewski, T., Beck, A., Bermpohl, F., Bernardi, R. E., Beste, C., Deserno, L., Durstewitz, D., Ebner-Priemer, U., Endrass, T., Ersche, K. D., Feld, G., Gerchen, M. F., Gerlach, B., Goschke, T., Hansson, A. C., Heim, C., Kiebel, S., . . . Other members of the ReCoDe, C. (2024). The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives. Addict Biol, 29(7), e13419. doi:10.1111/adb.13419
Butz, M. V., Mittenbuhler, M., Schwobel, S., Achimova, A., Gumbsch, C., Otte, S., & Kiebel, S. (2024). Contextualizing predictive minds. Neurosci Biobehav Rev, 168, 105948. doi:10.1016/j.neubiorev.2024.105948
Tabas, A., Kiebel, S., Marxen, M. & von Kriegstein, K. (in press) Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway. Imaging Neuroscience
Schwöbel, S., Marković, D., Smolka, M. N., Kiebel, S. (2024) Joint modeling of choices and reaction times based on Bayesian contextual behavioral control. PLOS Computational Biology 20(7): e1012228. doi:10.1371/journal.pcbi.1012228
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
2023
Chakroun, K., Wiehler, A., Wagner, B., Mathar, D., Ganzer, F., van Eimeren, T., et al. (2023). Dopamine regulates decision thresholds in human reinforcement learning in males. Nat Commun, 14(1), 5369. doi:10.1038/s41467-023-41130-y
Wagner, B. J., Schuller, C. B., Schuller, T., Baldermann, J. C., Kohl, S., Visser-Vandewalle, V., et al. (2023). Chronic deep brain stimulation of the human nucleus accumbens region disrupts the stability of inter-temporal preferences. J Neurosci. doi:10.1523/JNEUROSCI.0138-23.2023
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
Dubslaff, C., Schulz, J., Wienhöft, P., Baier, C., Fitzek, F. H.P., Kiebel, S. J., Lehmann, J. Towards a formal account on negative latency. In: Steffen, Bernhard (Hrsg.): Bridging the Gap Between AI and Reality, Bd. 14380, S. 188–214, Springer, 2023. doi:10.1007/978-3-031-46002-9_11
Baier, C., Dubslaff, C., Wienhöft, P., Kiebel, S. J. Strategy synthesis in Markov decision processes under limited sampling access. In: Rozier, Kristin Y.; Chaudhuri, Swarat (Hrsg.): NASA Formal Methods, Bd. 13903, S. 86–103, Springer, 2023. doi:10.1007/978-3-031-33170-1_6
2022
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
Wagner, B., Mathar, D., & Peters, J. (2022). Gambling Environment Exposure Increases Temporal Discounting but Improves Model-Based Control in Regular Slot-Machine Gamblers. Computational Psychiatry, 6(1), 142–165. DOI: doi:10.5334/cpsy.84
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
2021
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, 4, 530937. doi:10.3389/frai.2021.530937
Gros, C., Valenti, R., Schneider, L., Gutsche, B., & Markovic, D. (2021). Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities. PLoS One, 16(4), e0247272. doi:10.1371/journal.pone.0247272
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. doi: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., 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
Baeuchl, C., Kroemer, N., Pooseh, S., Petzold, J., Bitzer, S., Thurm, F., Li, S-C. & Smolka, M. N. (2020). Reward modulates the association between sensory noise and brain activity during perceptual decision-making. Neuropsychologia, 107675. doi:10.1016/j.neuropsychologia.2020.107675
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, 14:242. doi:10.3389/fnins.2020.00242
Ott, F., Markovic, 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
2019
Ghavami, S.*, Rahmati, V., Lahouti F. & Schwabe, L. (2019) Neuronal Synchronization Can Control the Energy Efficiency of Inter-Spike Interval Coding *equaly contributed. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 4, no. 4, 221-236. doi:10.1109/TMBMC.2019.2937291
Parr, T., Markovic, D., Kiebel, S. J., & Friston, K. J. (2019). Neuronal message passing using Mean-field, Bethe, and Marginal approximations. Sci Rep, 9(1), 1889. doi:10.1038/s41598-018-38246-3
Mihai, P. G., Moerel, M., de Martino, F., Trampel, R., Kiebel, S., & 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
Markovic, D., Reiter, A. M. F., & Kiebel, S. J. (2019). Predicting change: Approximate inference under explicit representation of temporal structure in changing environments. PLoS Comput Biol, 15(1), e1006707. doi:10.1371/journal.pcbi.1006707
Flossmann, T., Kaas, T., Rahmati, V., Kiebel, S. J., Witte, O. W., Holthoff, K., et al. (2019). Somatostatin Interneurons Promote Neuronal Synchrony in the Neonatal Hippocampus. Cell Rep, 26(12), 3173-3182, e3175. doi:10.1016/j.celrep.2019.02.061
2018
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
Rahmati, V., Kirmse, K., Holthoff, K., & Kiebel, S. J. (2018). Ultra-fast accurate reconstruction of spiking activity from calcium imaging data. J Neurophysiol, 119(5), 1863-1878. doi:10.1152/jn.00934.2017
Malesevic, N., Markovic, D., Kanitz, G., Controzzi, M., Cipriani, C., & Antfolk, C. (2018). Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals. Complexity. Artn 9728264. doi:10.1155/2018/9728264
Cuevas Rivera, D., Ott, F., Markovic, D., Strobel, A., & Kiebel, S. J. (2018). Context-Dependent Risk Aversion: A Model-Based Approach. Front Psychol, 9, 2053. doi:10.3389/fpsyg.2018.02053
Bernardoni, F., Geisler, D., King, J. A., Javadi, A. H., Ritschel, F., Murr, J., et al. (2018). Altered Medial Frontal Feedback Learning Signals in Anorexia Nervosa. Biol Psychiatry, 83(3), 235-243. doi:10.1016/j.biopsych.2017.07.024
2017
Rahmati, V., Kirmse, K., Holthoff, K., Schwabe, L., & Kiebel, S. J. (2017). Developmental Emergence of Sparse Coding: A Dynamic Systems Approach. Sci Rep, 7(1), 13015. 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. Front Comput Neurosci, 11, 29. doi:10.3389/fncom.2017.00029
2016
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 Comput Biol, 12(2), e1004736. doi:10.1371/journal.pcbi.1004736
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. Sci Rep, 6, 18832. doi:10.1038/srep18832
Markovic, D., & Kiebel, S. J. (2016). Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments. Front Comput Neurosci, 10, 33. doi:10.3389/fncom.2016.00033
Grellmann, C., Neumann, J., Bitzer, S., Kovacs, P., Tonjes, A., Westlye, L. T., et al. (2016). Random Projection for Fast and Efficient Multivariate Correlation Analysis of High-Dimensional Data: A New Approach. Front Genet, 7, 102. doi:10.3389/fgene.2016.00102
2015
Trapp, S., Shenhav, A., Bitzer, S., & Bar, M. (2015). Human preferences are biased towards associative information. Cogn Emot, 29(6), 1054-1068. doi:10.1080/02699931.2014.966064
Taubert, M., Wenzel, U., Draganski, B., Kiebel, S. J., Ragert, P., Krug, J., et al. (2015). Investigating Neuroanatomical Features in Top Athletes at the Single Subject Level. PLoS One, 10(6), e0129508. doi:10.1371/journal.pone.0129508
Schirmer-Mokwa, K. L., Fard, P. R., Zamorano, A. M., Finkel, S., Birbaumer, N., & Kleber, B. A. (2015). Evidence for Enhanced Interoceptive Accuracy in Professional Musicians. Front Behav Neurosci, 9, 349. doi:10.3389/fnbeh.2015.00349
Schall, S., Kiebel, S. J., Maess, B., & von Kriegstein, K. (2015). Voice identity recognition: functional division of the right STS and its behavioral relevance. J Cogn Neurosci, 27(2), 280-291. doi:10.1162/jocn_a_00707
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 Comput Biol, 11(10), e1004558. doi:10.1371/journal.pcbi.1004558
Grellmann, C., Bitzer, S., Neumann, J., Westlye, L. T., Andreassen, O. A., Villringer, A., et al. (2015). Comparison of variants of canonical correlation analysis and partial least squares for combined analysis of MRI and genetic data. Neuroimage, 107, 289-310. doi:10.1016/j.neuroimage.2014.12.025
Cuevas Rivera, D., Bitzer, S., & Kiebel, S. J. (2015). Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference. PLoS Comput Biol, 11(10), e1004528. doi:10.1371/journal.pcbi.1004528
Blank, H., Kiebel, S. J., & von Kriegstein, K. (2015). How the human brain exchanges information across sensory modalities to recognize other people. Hum Brain Mapp, 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), 1045–1053
Bitzer, S., Bruineberg, J., & Kiebel, S. J. (2015). A Bayesian Attractor Model for Perceptual Decision Making. PLoS Comput Biol, 11(8), e1004442. doi:10.1371/journal.pcbi.1004442
2014
Thiel, S. D., Bitzer, S., Nierhaus, T., Kalberlah, C., Preusser, S., Neumann, J., et al. (2014). Hysteresis as an implicit prior in tactile spatial decision making. PLoS One, 9(2), e89802. doi:10.1371/journal.pone.0089802
Schaefer, A., Margulies, D. S., Lohmann, G., Gorgolewski, K. J., Smallwood, J., Kiebel, S. J., et al. (2014). Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Front Hum Neurosci, 8, 195. doi:10.3389/fnhum.2014.00195
Markovic, D., & Gros, C. (2014). Power laws and self-organized criticality in theory and nature. Physics Reports-Review Section of Physics Letters, 536(2), 41-74. doi:10.1016/j.physrep.2013.11.002
Bitzer, S., Park, H., Blankenburg, F., & Kiebel, S. J. (2014). Perceptual decision making: drift-diffusion model is equivalent to a Bayesian model. Front Hum Neurosci, 8, 102. 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 Comput Biol, 9(9), e1003219. 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 Netw, 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). 10.1016/j.neuroimage.2008.07.041. 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. Front Psychol, 3, 523. 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. Proc Natl Acad Sci U S A, 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., et al. (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. Biol Cybern, 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 Comput Biol, 7(12), e1002303. doi:10.1371/journal.pcbi.1002303
Litvak, V., Mattout, J., Kiebel, S., Phillips, C., Henson, R., Kilner, J., et al. (2011). EEG and MEG data analysis in SPM8. Comput Intell Neurosci, 2011, 852961. doi:10.1155/2011/852961
Kiebel, S. J., & Friston, K. J. (2011). Free energy and dendritic self-organization. Front Syst Neurosci, 5, 80. doi:10.3389/fnsys.2011.00080
2010
von Kriegstein, K., Smith, D. R., Patterson, R. D., Kiebel, S. J., & Griffiths, T. D. (2010). How the human brain recognizes speech in the context of changing speakers. J Neurosci, 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., et al. (2010). Amygdala damage affects event-related potentials for fearful faces at specific time windows. Hum Brain Mapp, 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. Cereb 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. Biol Cybern, 102(3), 227-260. doi:10.1007/s00422-010-0364-z
Daunizeau, J., den Ouden, H. E., 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), e15554. doi:10.1371/journal.pone.0015554
Daunizeau, J., den Ouden, H. E., Pessiglione, M., Kiebel, S. J., Friston, K. J., & Stephan, K. E. (2010). Observing the observer (II): deciding when to decide. PLoS One, 5(12), e15555. 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. J Neurosci, 30(25), 8393-8399. doi:10.1523/JNEUROSCI.1194-09.2010
2009
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. J Neurosci, 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., et al. (2009). Changing meaning causes coupling changes within higher levels of the cortical hierarchy. Proc Natl Acad Sci U S A, 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 Comput Biol, 5(8), e1000464. 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. Hum Brain Mapp, 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. J Neurophysiol, 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), e6421. 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, 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., et al. (2008). Simulation of talking faces in the human brain improves auditory speech recognition. Proc Natl Acad Sci U S A, 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., et al. (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. Cogn Neurodyn, 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 Comput Biol, 4(11), e1000209. 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., et al. (2008). Multiple sparse priors for the M/EEG inverse problem. Neuroimage, 39(3), 1104-1120. doi:10.1016/j.neuroimage.2007.09.048
Chen, C. C., Kiebel, S. J., & Friston, K. J. (2008). Dynamic causal modelling of induced responses. Neuroimage, 41(4), 1293-1312. doi:10.1016/j.neuroimage.2008.03.026
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. J Biosci, 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., et al. (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. Proc Natl Acad Sci U S A, 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
2006
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
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. Neurosci Lett, 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. Hum Brain Mapp, 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. Magn Reson 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
Penny, W., Kiebel, S., & Friston, K. J. (2003). Variational Bayesian inference for fMRI time series. Neuroimage, 19(3), 727-741. doi:10.1016/S1053-8119(03)00071-5
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., et al. (2002). Visuomotor control within a distributed parieto-frontal network. Exp Brain Res, 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., 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
Hamzei, F., Liepert, J., Dettmers, C., Adler, T., Kiebel, S., Rijntjes, M., et al. (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. J., & Weiller, C. (1999). A blueprint for movement: Functional and anatomical representations in the human motor system. Journal of Neuroscience, 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., et al. (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 Pt 1), 271-279. doi:10.1006/nimg.1997.0265
1996
Weiller, C., Juptner, M., Fellows, S., Rijntjes, M., Leonhardt, G., Kiebel, S., et al. (1996). Brain representation of active and passive movements. Neuroimage, 4(2), 105-110. doi:10.1006/nimg.1996.0034