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2019 course

in prep

2017 course

Absolute beginners

MRI physics Dr Devasuda Anblagan

The BLOD signal Dr Cyril Pernet

fMRI Designs Dr Alexa Morcom

Beginners:

Slice Timing, The General Linear Model Statistical Inference Dr Cyril Pernet

Preprocessing I (within subject) Preprocessing II (between subjects) Prof John Ashburner

Random effect analysis, Dr Alexa Morcom

Contrasts, Non-parametric approaches, Dr Martyn Mcfarquhar

Advanced:

Deformation-/Voxel-based Morphometry Prof John Ashburner

Morphometry, Prof C Gaser

Pattern classification by Christophe Phillips

Dynamic Functional Connectivity, Dynamic Causal Modelling Dr Daniele Marinazzo

Functional Connectivity Dr Cyril Pernet

Multivariate Bayes Dr Alexa Morcom

Representational Similarity Analysis Dr Ian Charest

2015 course

Absolute beginners

MRI physics Dr Devasuda Anblagan

The BLOD signal Dr Cyril Pernet

Beginners:

Introduction to SPM, Slice Timing, The General Linear Model Cyril Pernet

Statistical Inference Justin Chumbley

Preprocessing I (within subject) Preprocessing II (between subjects) John Ashburner

Experimental Design, Random effect aanlysis, Plotting and Data Visualisation Alexa Morcom

Advanced:

Deformation-/Voxel-based Morphometry John Ashburner

Bayesian inference Justin Chumbley

Pattern classification by Christophe Phillips

Introduction to connectivity analyses & Dynamic Causal Modelling Mohammed Seghier

Design Optimization, Advanced stat modelling and Inference, Functional Connectivity Cyril Pernet

Multivariate Bayes Alexa Morcom

Representational Similarity Analysis Nikolaus Kriegeskorte

 

2013 course

Beginners:

Introduction to SPM, Slice Timing, The General Linear Model, Statistical Inference by Cyril Pernet

Preprocessing I (within subject) Preprocessing II (between subjects) by John Ashburner

Experimental Design, Random effect aanlysis, Plotting and Data Visualisation by Alexa Morcom

Advanced:

Bayesian inference, Multivariate Bayes by Jean Daunizeau

Introduction to connectivity analyses, Dynamic Causal Modelling by Mohammed Seghier

Advanced experimental designs & efficiency by Cyril Pernet

--> workshop SPM programming and batch, Functional Connectivity

Fusion fMRI/MEEG by Jason Taylor

Pattern classification by Christophe Phillips

--> worshop Pronto

Deformation-/Voxel-based Morphometry by John Ashburner

 

2011 course

Beginners:

Preprocessing I (within subject) Preprocessing II (between subjects) by John Ashburner

The General Linear Model, Multiple comparisons correction by Cyril Pernet

Model estimation, Plotting and Data Visualisation by Alexa Morcom

Statistical Inference, Random effects analysis by Jean Daunizeau

Experimental Design by Thomas Wolbers

Advanced:

Bayesian inference, Multivariate Bayes by Jean Daunizeau

Introduction to connectivity analyses, Dynamic Causal Modelling by Mohammed Seghier

Advanced experimental designs & efficiency by Cyril Pernet

Covariance components by Alexa Morcom

Pattern classification by Thomas Wolbers

Deformation-/Voxel-based Morphometry by John Ashburner

 

2010 course

Beginners:

Preprocessing I (within subject) Preprocessing II (between subjects) by John Ashburner

The General Linear Model, Multiple comparisons correction by Cyril Pernet

Model estimation, Plotting and Data Visualisation by Alexa Morcom

Statistical Inference, Random effects analysis by Jean Daunizeau

Experimental Design by Thomas Wolbers

Advanced:

Bayesian inference, Multivariate Bayes by Jean Daunizeau

Introduction to connectivity analyses, Dynamic Causal Modelling by Mohammed Seghier

Advanced experimental designs & efficiency by Cyril Pernet

Covariance components by Jean-Baptiste Poline

Pattern classification by Thomas Wolbers

Deformation-/Voxel-based Morphometry by John Ashburner

 

 

 

 

 

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