|
π¬
|
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans
M. Pessiglione,
B. Seymour,
G. Flandin,
R. Dolan,
C. Frith
|
10 |
2006 |
10
π¬
|
|
π
|
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
27 auth.
Krzysztof J. Gorgolewski,
T. Auer,
V. Calhoun,
R. Craddock,
Samir Das,
E. Duff,
G. Flandin,
Satrajit S. Ghosh,
T. Glatard,
Y. Halchenko,
D. Handwerker,
Michael Hanke,
D. Keator,
Xiangrui Li,
Zachary Michael,
...
Camille Maumet,
B. N. Nichols,
Thomas E. Nichols,
J. Pellman,
J. Poline,
Ariel S. Rokem,
G. Schaefer,
V. Sochat,
W. Triplett,
J. Turner,
G. Varoquaux,
R. Poldrack
|
10 |
2016 |
10
π
|
|
π
|
Multiple sparse priors for the M/EEG inverse problem
9 auth.
Karl J. Friston,
L. Harrison,
J. Daunizeau,
S. Kiebel,
C. Phillips,
N. Trujillo-Barreto,
...
R. Henson,
G. Flandin,
J. Mattout
|
9 |
2008 |
9
π
|
|
π
|
EEG and MEG Data Analysis in SPM8
12 auth.
V. Litvak,
J. Mattout,
S. Kiebel,
C. Phillips,
R. Henson,
J. Kilner,
...
G. Barnes,
R. Oostenveld,
J. Daunizeau,
G. Flandin,
W. Penny,
Karl J. Friston
|
9 |
2011 |
9
π
|
|
π¬
|
Topological FDR for neuroimaging
J. Chumbley,
K. Worsley,
G. Flandin,
Karl J. Friston
|
8 |
2010 |
8
π¬
|
|
π
|
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
7 auth.
C. Pernet,
S. Appelhoff,
Krzysztof J. Gorgolewski,
G. Flandin,
C. Phillips,
A. Delorme,
...
R. Oostenveld
|
8 |
2019 |
8
π
|
|
π
|
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
29 auth.
Krzysztof J. Gorgolewski,
F. Alfaro-Almagro,
T. Auer,
Lune P Bellec,
M. CapotΔ,
M. Chakravarty,
N. Churchill,
A. Cohen,
R. Craddock,
Gabriel A. Devenyi,
A. Eklund,
O. Esteban,
G. Flandin,
Satrajit S. Ghosh,
J. S. Guntupalli,
...
M. Jenkinson,
A. Keshavan,
Gregory Kiar,
Franziskus Liem,
Pradeep Reddy Raamana,
D. Raffelt,
C. Steele,
P. Quirion,
R. Smith,
S. Strother,
G. Varoquaux,
Yida Wang,
T. Yarkoni,
R. Poldrack
|
8 |
2016 |
8
π
|
|
π¬
|
Dealing with the shortcomings of spatial normalization: Multiβsubject parcellation of fMRI datasets
B. Thirion,
G. Flandin,
P. Pinel,
A. Roche,
P. Ciuciu,
J. Poline
|
7 |
2006 |
7
π¬
|
|
π¦
|
Analysis of familyβwise error rates in statistical parametric mapping using random field theory
G. Flandin,
Karl J. Friston
|
7 |
2016 |
7
π¦
|
|
π
|
Resting state functional MRI in Parkinsonβs disease: the impact of deep brain stimulation on βeffectiveβ connectivity
14 auth.
J. Kahan,
Maren Urner,
R. Moran,
G. Flandin,
A. Marreiros,
L. Mancini,
Mark White,
J. Thornton,
T. Yousry,
L. Zrinzo,
...
M. Hariz,
P. Limousin,
Karl J. Friston,
T. Foltynie
|
7 |
2014 |
7
π
|
|
π¬
|
Modelling event-related skin conductance responses
D. Bach,
G. Flandin,
Karl J. Friston,
R. Dolan
|
7 |
2010 |
7
π¬
|
|
π¬
|
Time-series analysis for rapid event-related skin conductance responses
D. Bach,
G. Flandin,
Karl J. Friston,
R. Dolan
|
7 |
2009 |
7
π¬
|
