P
Philippe Ciuciu
Researcher at French Institute for Research in Computer Science and Automation
Publications - 162
Citations - 3713
Philippe Ciuciu is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Compressed sensing & Iterative reconstruction. The author has an hindex of 29, co-authored 151 publications receiving 3418 citations. Previous affiliations of Philippe Ciuciu include Université Paris-Saclay & French Institute of Health and Medical Research.
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Journal ArticleDOI
Letter Binding and Invariant Recognition of Masked Words Behavioral and Neuroimaging Evidence
Stanislas Dehaene,Antoinette Jobert,Lionel Naccache,Philippe Ciuciu,Jean-Baptiste Poline,D. Le Bihan,Laurent D. Cohen +6 more
TL;DR: The results indicate that an invariant binding of letters into words is achieved unconsciously through a series of increasingly invariant stages in the left occipito-temporal pathway.
Journal ArticleDOI
Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.
Bertrand Thirion,Guillaume Flandin,Philippe Pinel,Alexis Roche,Philippe Ciuciu,Jean-Baptiste Poline +5 more
TL;DR: A novel technique for intra‐subject parcellation based on spectral clustering that delineates homogeneous and connected regions and a hierarchical method to derive group parcels that are spatially coherent across subjects and functionally homogeneous are introduced.
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Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task.
Philippe Ciuciu,Gaël Varoquaux,Gaël Varoquaux,Gaël Varoquaux,Patrice Abry,Sepideh Sadaghiani,Andreas Kleinschmidt +6 more
TL;DR: Results indicate that most fMRI signals appear multifractal at rest except in non-cortical regions, and task-related modulation of multifractality appears only significant in functional networks and thus can be considered as the key property disentangling functional networks from artifacts.
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Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment
Philippe Ciuciu,Jean-Baptiste Poline,Guillaume Marrelec,Jérôme Idier,Christophe Pallier,Habib Benali +5 more
TL;DR: This paper develops a threefold extension to previous works on the estimation of the blood oxygen level-dependent response to a stimulus, as measured in functional magnetic resonance imaging (fMRI) data, considering asynchronous event-related paradigms account for different trial types and integrate several fMRI sessions into the estimation.
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Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information.
Guillaume Marrelec,Habib Benali,Philippe Ciuciu,Mélanie Pélégrini-Issac,Jean-Baptiste Poline +4 more
TL;DR: This work extends and develops a previously proposed method that makes use of basic yet relevant temporal information about the underlying physiological process of the brain BOLD response in order to infer the HRF in a Bayesian framework and shows great improvement in terms of estimation error, variance, and bias.