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Guillaume Flandin

Showing results (1-10 of 49) with videos related to

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Neuroimage|December 13, 2006
Bayesian fMRI data analysis with sparse spatial basis function priorsGuillaume Flandin, William D Penny
Human Brain Mapping|November 2, 2017
Analysis of family-wise error rates in statistical parametric mapping using random field theoryGuillaume Flandin, Karl J Friston
Scientific Reports|July 20, 2022
Dynamic causal modelling of COVID-19 and its mitigationsKarl J Friston, Guillaume Flandin, Adeel Razi
Human Brain Mapping|November 30, 2006
Bayesian comparison of spatially regularised general linear modelsWill Penny, Guillaume Flandin, Nelson Trujillo-Barreto
Neuroimage|September 18, 2012
Convolution models for induced electromagnetic responsesVladimir Litvak, Ashwani Jha, Guillaume Flandin, et al.
Frontiers in Neuroscience|May 10, 2019
Multimodal Integration of M/EEG and f/MRI Data in SPM12Richard N Henson, Hunar Abdulrahman, Guillaume Flandin, et al.
Human Brain Mapping|January 22, 2010
A parametric empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstructionRichard N Henson, Guillaume Flandin, Karl J Friston, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|January 23, 2010
Modelling event-related skin conductance responsesDominik R Bach, Guillaume Flandin, Karl J Friston, et al.
Journal of Neuroscience Methods|August 19, 2009
Time-series analysis for rapid event-related skin conductance responsesDominik R Bach, Guillaume Flandin, Karl J Friston, et al.
Nature|August 25, 2006
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humansMathias Pessiglione, Ben Seymour, Guillaume Flandin, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Neuroimage|December 13, 2006
Bayesian fMRI data analysis with sparse spatial basis function priorsGuillaume Flandin, William D Penny
Human Brain Mapping|November 2, 2017
Analysis of family-wise error rates in statistical parametric mapping using random field theoryGuillaume Flandin, Karl J Friston
Scientific Reports|July 20, 2022
Dynamic causal modelling of COVID-19 and its mitigationsKarl J Friston, Guillaume Flandin, Adeel Razi
Human Brain Mapping|November 30, 2006
Bayesian comparison of spatially regularised general linear modelsWill Penny, Guillaume Flandin, Nelson Trujillo-Barreto
Neuroimage|September 18, 2012
Convolution models for induced electromagnetic responsesVladimir Litvak, Ashwani Jha, Guillaume Flandin, et al.
Frontiers in Neuroscience|May 10, 2019
Multimodal Integration of M/EEG and f/MRI Data in SPM12Richard N Henson, Hunar Abdulrahman, Guillaume Flandin, et al.
Human Brain Mapping|January 22, 2010
A parametric empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstructionRichard N Henson, Guillaume Flandin, Karl J Friston, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|January 23, 2010
Modelling event-related skin conductance responsesDominik R Bach, Guillaume Flandin, Karl J Friston, et al.
Journal of Neuroscience Methods|August 19, 2009
Time-series analysis for rapid event-related skin conductance responsesDominik R Bach, Guillaume Flandin, Karl J Friston, et al.
Nature|August 25, 2006
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humansMathias Pessiglione, Ben Seymour, Guillaume Flandin, et al.
Pageof 5