The General Linear Model for fMRI analysis
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Rik Henson.
The General Linear Model for fMRI analysis
Global effects, correlation/orthogonalisation, time-series convolution models, high-pass filtering, temporal auto-correlation, maximum likelihood (ML) estimation, non-sphericity, Statistical Parametric Maps (SPMs) and Random Field Theory Correction, Group-level inference; Parametric Empirical Bayesian Inference
This talk is part of the Statistical Parametric Mapping (SPM) series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|