Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Analysis of fMRI data using the general linear statistical model — Robert Turner (1996) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Analysis of fMRI data using the general linear statistical model
Shared by
Karl Friston
University College London, University of London
Analysis of fMRI data using the general linear statistical model
Article
1996
en
Authors
+2 more
RT
Robert Turner
Karl Friston
University College London
JA
John Ashburner
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Chapter in a book
2025
Statistical Analysis of fMRI Data
Mark W. Woolrich
,
Christian F. Beckmann
,
Thomas E. Nichols
,
Stephen M. Smith
,
Paola Valsasina
,
Maria A. Rocca
,
Massimo Filippi
Article
1996
Robust smoothness estimation in statistical parametric maps using residuals from the general linear model
Stefan J. Kiebel
,
J.-B. Poline
,
Andrew P. Holmes
,
Keith J. Worsley
,
R. S. J. Frackowiak
,
Karl Friston
Article
1999
Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model
Stefan J. Kiebel
,
Jean‐Baptiste Poline
,
Karl Friston
,
Andrew P. Holmes
,
Keith J. Worsley
Article
1997
Characterizing the Response of PET and fMRI Data Using Multivariate Linear Models
K.J. Worsley
,
J.-B. Poline
,
Karl Friston
,
Alan C. Evans
Article
2008
Spinal fMRI during proprioceptive and tactile tasks in healthy subjects: activity detected using cross-correlation, general linear model and independent component analysis
Paola Valsasina
,
Federica Agosta
,
Domenico Caputo
,
Patrick W. Stroman
,
Massimo Filippi
Discussion(0)
No comments yet. Be the first to comment.