about
A hierarchical neuronal model for generation and online recognition of birdsongs.Recognizing sequences of sequences.A dynamic causal model study of neuronal population dynamicsRepetition suppression and plasticity in the human brain.From birdsong to human speech recognition: bayesian inference on a hierarchy of nonlinear dynamical systems.Dysfunction of the auditory thalamus in developmental dyslexia.Spatiotemporal dynamics of argument retrieval and reordering: an FMRI and EEG study on sentence processing.How the human brain recognizes speech in the context of changing speakers.Perception and hierarchical dynamics.Dynamic causal modeling of the response to frequency deviants.Dynamic causal modelling for EEG and MEG.Modulation of perception and brain activity by predictable trajectories of facial expressions.Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference.Causal hierarchy within the thalamo-cortical network in spike and wave discharges.Observing the observer (I): meta-bayesian models of learning and decision-making.Observing the observer (II): deciding when to decide.EEG and MEG data analysis in SPM8.Nonlinear coupling in the human motor system.How humans integrate the prospects of pain and reward during choice.Amygdala damage affects event-related potentials for fearful faces at specific time windowsA dynamic causal model for evoked and induced responses.Investigating Neuroanatomical Features in Top Athletes at the Single Subject LevelA Bayesian Attractor Model for Perceptual Decision Making.Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference.Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism.Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision makingDynamic causal modeling for EEG and MEG.Predictive coding under the free-energy principle.Cortical circuits for perceptual inference.Perceptual decision making: drift-diffusion model is equivalent to a Bayesian modelFree energy and dendritic self-organization.A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making.Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI.Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments.Evidence for neural encoding of Bayesian surprise in human somatosensation.Dynamic causal modelling of distributed electromagnetic responses.Developmental Emergence of Sparse Coding: A Dynamic Systems Approach.Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models.Action and behavior: a free-energy formulation.Bifurcation analysis of neural mass models: Impact of extrinsic inputs and dendritic time constants.
P50
Q27332205-A75714EA-4CDE-44BB-8936-D931CAF843CDQ27335455-5BCE82E3-65EC-4B38-BE61-57BD15EB8F53Q28742504-5A968C2C-0CF0-473B-A197-968861A799DFQ28748908-F9A5CBB9-4B54-4F33-93D8-26B85811CC81Q30448962-15146B35-49ED-4737-911C-A66716E7A170Q30458094-7242FECB-08A3-46D8-B3C6-79FD2B0C25C0Q30459858-29D01D18-86BE-40A2-A0C3-06A4524AD920Q30480529-39B0AC74-77FA-4A77-971F-9297D07204D4Q30487891-2AAA168B-8938-42A4-8E05-E7E76E23F149Q30489043-A65D37FF-ABA0-4F56-9E8B-8213BB5ED95FQ30492696-D86A9A87-C765-4866-9ECB-2D2B57FCD6F7Q30493105-C09B3D30-4663-4106-B660-6C39C1AF1948Q31047829-A8E309FA-C1A9-42D3-802E-073CCA91A652Q33489523-A268A6E9-D515-414E-9EB6-3DDB35D981F6Q33778560-87CD5D1E-7EB3-41EB-A428-50ED0F26A827Q33778574-54FF54EC-BCAD-427A-AA50-82B4348EB374Q33855504-683D3F09-F03B-4A11-A2F2-76E61C397A6BQ34071284-0DAA9058-24F1-4E22-855D-B2FB95AC2DA9Q34168227-0EC4F72C-F9A9-45F5-97E1-A861C3F4ACD7Q35215081-EA0B0695-D8A0-43F3-8D35-53CF3A3E84E9Q35456497-1E882A1C-C236-4108-9D91-BC651A7E8D8EQ35665054-A7244AC6-8DB3-4C14-B0BA-B087C6475EAEQ35743820-66602C82-6CD9-4D70-B824-D6CB77F1A879Q35801614-BE27E9AF-D3B3-426E-AEC0-70DD1D00EFBAQ35818669-340034FD-8AAB-4C1F-BD57-3CB52BAD5E7EQ36449033-BF9F8B55-371F-47E6-BEBA-E296CE1E9A72Q37440964-A0A9CCD5-2384-46FD-9D11-80EF699BB8FDQ37520162-11E48A61-F681-4BEA-8748-280EF3501320Q37563736-C4BBFE21-58F9-4237-8A16-D78733A9180BQ37604224-085E31BD-564A-4F16-AA8F-E83604F47D41Q38666901-83E8C036-BFD0-45AE-806A-B40A0EAF08F1Q38759015-E1857280-E479-4641-96BF-C198C0ADB2F1Q39528855-33C4CEDD-E523-4F4A-B79E-35D55ECC5336Q39792733-4BEACCE0-0C1B-4BD3-BEC6-B8BCC1FDBE24Q41734458-7C356E73-3503-4B55-921C-F28A361AAF5DQ42172081-DB64D304-5446-4A21-B8E8-DE7D482278D7Q42376090-6A1F6D4D-2382-49CE-B877-3C38E328E285Q42592039-12776F2D-8404-421E-88F6-42C7CD6E6442Q43165770-97D1AF23-82A7-47F8-BD81-B76BD624E266Q43203559-A45EA587-0EC0-4600-9179-8F8339635199
P50
description
researcher
@en
ricercatore
@it
wetenschapper
@nl
հետազոտող
@hy
name
Stefan J Kiebel
@nl
Stefan J Kiebel
@sl
Stefan J. Kiebel
@da
Stefan J. Kiebel
@de
Stefan J. Kiebel
@en
Stefan J. Kiebel
@es
Stefan J. Kiebel
@fo
Stefan J. Kiebel
@fr
Stefan J. Kiebel
@is
Stefan J. Kiebel
@kl
type
label
Stefan J Kiebel
@nl
Stefan J Kiebel
@sl
Stefan J. Kiebel
@da
Stefan J. Kiebel
@de
Stefan J. Kiebel
@en
Stefan J. Kiebel
@es
Stefan J. Kiebel
@fo
Stefan J. Kiebel
@fr
Stefan J. Kiebel
@is
Stefan J. Kiebel
@kl
altLabel
Stefan J Kiebel
@da
Stefan J Kiebel
@de
Stefan J Kiebel
@en
Stefan Kiebel
@da
Stefan Kiebel
@de
Stefan Kiebel
@en
prefLabel
Stefan J Kiebel
@nl
Stefan J Kiebel
@sl
Stefan J. Kiebel
@da
Stefan J. Kiebel
@de
Stefan J. Kiebel
@en
Stefan J. Kiebel
@es
Stefan J. Kiebel
@fo
Stefan J. Kiebel
@fr
Stefan J. Kiebel
@is
Stefan J. Kiebel
@kl
P214
P1053
B-1551-2009
P106
P108
P1960
Ho0z0L4AAAAJ
P21
P214
P2456
P31
P3829
P496
0000-0002-5052-1117
P734
P735
P7859
viaf-45204908