K
Klaas E. Stephan
Researcher at University of Zurich
Publications - 321
Citations - 38592
Klaas E. Stephan is an academic researcher from University of Zurich. The author has contributed to research in topics: Bayesian inference & Functional magnetic resonance imaging. The author has an hindex of 91, co-authored 309 publications receiving 33765 citations. Previous affiliations of Klaas E. Stephan include Wellcome Trust & University of Düsseldorf.
Papers
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Journal ArticleDOI
A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
Simon B. Eickhoff,Klaas E. Stephan,Hartmut Mohlberg,Christian Grefkes,Gereon R. Fink,Katrin Amunts,Karl Zilles +6 more
TL;DR: A new, MATLAB based toolbox for the SPM2 software package is introduced which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies and an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.
Journal ArticleDOI
Empathic neural responses are modulated by the perceived fairness of others
TL;DR: It is shown that in men (at least) empathic responses are shaped by valuation of other people's social behaviour, such that they empathize with fair opponents while favouring the physical punishment of unfair opponents, a finding that echoes recent evidence for altruistic punishment.
Journal ArticleDOI
Bayesian model selection for group studies.
TL;DR: The hierarchical Bayesian approach is considerably more robust than either of the other approaches in the presence of outliers and is expected to prove useful for a wide range of group studies, not only in the context of DCM, but also for other modelling endeavours, e.g. comparing different source reconstruction methods for EEG/MEG.
Proceedings ArticleDOI
The Balanced Accuracy and Its Posterior Distribution
TL;DR: It is shown that both problems can be overcome by replacing the conventional point estimate of accuracy by an estimate of the posterior distribution of the balanced accuracy.
Journal ArticleDOI
The mismatch negativity: a review of underlying mechanisms.
TL;DR: A review of studies that focus on neuronal mechanisms underlying the MMN generation, discusses the two major explanatory hypotheses, and proposes predictive coding as a general framework that attempts to unify both.