Stefan Frässle
Cited by
Cited by
No-report paradigms: extracting the true neural correlates of consciousness
N Tsuchiya, M Wilke, S Frässle, VAF Lamme
Trends in cognitive sciences 19 (12), 757-770, 2015
Binocular rivalry: frontal activity relates to introspection and action but not to perception
S Frässle, J Sommer, A Jansen, M Naber, W Einhäuser
Journal of Neuroscience 34 (5), 1738-1747, 2014
Perceptual rivalry: reflexes reveal the gradual nature of visual awareness
M Naber, S Frässle, W Einhäuser
PLoS One 6 (6), e20910, 2011
Pupil size signals novelty and predicts later retrieval success for declarative memories of natural scenes
M Naber, S Frässle, U Rutishauser, W Einhäuser
Journal of vision 13 (2), 11-11, 2013
Neural pathways of embarrassment and their modulation by social anxiety
L Müller-Pinzler, V Gazzola, C Keysers, J Sommer, A Jansen, S Frässle, ...
NeuroImage 119, 252-261, 2015
Regression DCM for fMRI
S Frässle, EI Lomakina, A Razi, KJ Friston, JM Buhmann, KE Stephan
Neuroimage 155, 406-421, 2017
Evidence from pupillometry and fMRI indicates reduced neural response during vicarious social pain but not physical pain in autism
S Krach, I Kamp‐Becker, W Einhäuser, J Sommer, S Frässle, A Jansen, ...
Human Brain Mapping 36 (11), 4730-4744, 2015
Mechanisms of hemispheric lateralization: Asymmetric interhemispheric recruitment in the face perception network
S Frässle, FM Paulus, S Krach, SR Schweinberger, KE Stephan, ...
Neuroimage 124, 977-988, 2016
A generative model of whole-brain effective connectivity
S Frässle, EI Lomakina, L Kasper, ZM Manjaly, A Leff, KP Pruessmann, ...
Neuroimage 179, 505-529, 2018
Test-retest reliability of dynamic causal modeling for fMRI
S Frässle, KE Stephan, KJ Friston, M Steup, S Krach, FM Paulus, ...
Neuroimage 117, 56-66, 2015
Test‐retest reliability of effective connectivity in the face perception network
S Frässle, FM Paulus, S Krach, A Jansen
Human Brain Mapping 37 (2), 730-744, 2016
Handedness is related to neural mechanisms underlying hemispheric lateralization of face processing
S Frässle, S Krach, FM Paulus, A Jansen
Scientific reports 6 (1), 1-17, 2016
Generative models for clinical applications in computational psychiatry
S Frässle, Y Yao, D Schöbi, EA Aponte, J Heinzle, KE Stephan
Wiley Interdisciplinary Reviews: Cognitive Science 9 (3), e1460, 2018
No-report and report-based paradigms jointly unravel the NCC: response to Overgaard and Fazekas
N Tsuchiya, S Frässle, M Wilke, V Lamme
Trends in cognitive sciences 20 (4), 2016
Future directions for identifying the neural correlates of consciousness
K Sandberg, S Frässle, M Pitts
Nature Reviews Neuroscience 17 (10), 666-666, 2016
Convergence of cortical types and functional motifs in the human mesiotemporal lobe
C Paquola, O Benkarim, J DeKraker, S Lariviere, S Frässle, J Royer, ...
Elife 9, e60673, 2020
Predicting individual clinical trajectories of depression with generative embedding
S Frässle, AF Marquand, L Schmaal, R Dinga, DJ Veltman, ...
NeuroImage: Clinical 26, 102213, 2020
Regression dynamic causal modeling for resting-state fMRI
S Frässle, SJ Harrison, J Heinzle, BA Clementz, CA Tamminga, ...
Human Brain Mapping, 1-22, 2021
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE)
Y Yao, SS Raman, M Schiek, A Leff, S Frässle, KE Stephan
NeuroImage 179, 604-619, 2018
Comparison of fMRI paradigms assessing visuospatial processing: Robustness and reproducibility
V Schuster, P Herholz, KM Zimmermann, S Westermann, S Frässle, ...
PloS one 12 (10), e0186344, 2017
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