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Using the GUI (4): Optional for preprocessing
Optional features include the aforementioned Rescale, Mask generation and spatial Normalization on the fixation map.
Rescale: Linear downsampling using imresize in Matlab with "nearest" method.
Mask: In iMap4, model fitting is only performed within a given mask, as the sparse outliners in 2D fixation map are very likely to generate erroneous estimation. The default threshold is the full width at half maximum (FWHM) for the minimal fixation duration after smoothing.
Normalization (not shown here) could be done either by performing pixel-wise Z-score or divide by total trial/condition duration.
This wiki is adapted from the original iMap4 guidebook.
If you have any questions about the iMap4 usage, please email [email protected]
Getting started
Theory
- Linear Mixed Models
- Pixel Wise Modeling and non-parametric statistics
- Family-wise error rate (FWER) under H0
- Power analysis of iMap4
Data structures and function usage
- Core functions
- Input Matrix
- LMMmap
- StatMap, Posthoc and figure outputs
- Other useful features and function
Example 1 (GUI)
- Background of Example 1
- Using the GUI (1): Import Data and label columns
- Using the GUI (2): Parameters and Conditions
- Using the GUI (3): Create smoothed fixation matrix
- Using the GUI (4): Optional for preprocessing
- Using the GUI (5): Descriptive Statistics Report
- Using the GUI (6): Spatial Mapping Using Linear Mixed Models
- Using the GUI (7): Hypothesis testing and Display results
- Using the GUI (8): Post-hoc analysis
Example 2 (Code)
Example 3 (Code)
Example 4 (Code)
Future development
Additional information