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##Installation Download iMap4.mlappinstall and intall the toolbox as a Matlab Application. Example codes and dataset could be found in ./Data_Sample_with_codes/
Please read the wiki for more information of how to use the toolbox.
Lao, J., Miellet, S., Pernet, C., Sokhn, N., & Caldara, R. (2016). iMap4: An Open Source Toolbox for the Statistical Fixation Mapping of Eye Movement data with Linear Mixed Modeling. Behavior Research Methods. doi: 10.3758/s13428-016-0737-x
##Published papers using iMap4 (Updated manually) Bovet, J., Lao, J., Bartholomée, O., Caldara, R., & Raymond, M. (2016). Mapping female bodily features of attractiveness. Scientific Reports, 6, 18551. doi: 10.1038/srep18551
We provide a subset of the data from this study as a demo of iMap4, see wiki
Kuchinke, L., Dickmann, F., Edler, D., Bordewieck, M., & Bestgen, A. K. (2016). The processing and integration of map elements during a recognition memory task is mirrored in eye-movement patterns. Journal of Environmental Psychology, 47, 213-222. doi:10.1016/j.jenvp.2016.07.002
Geangu, E., Ichikawa, H., Lao, J., Kanazawa, S., Yamaguchi, M., Caldara, R., & Turati, C. (2016). Culture shapes 7-month-olds' perceptual strategies in discriminating facial expressions of emotion. Current Biology, 26(14), 663-664. doi:10.1016/j.cub.2016.05.072
##Keep in touch! Updates and new release will be announced on our [lab website] (http://perso.unifr.ch/roberto.caldara/index.php?page=3). Subscribe by following the link and we'll keep you informed!!
If you have any question, please email [email protected]
#####Acknowledgments The development of this toolbox was supported by the Swiss National Science Foundation (n° 100014_138627) awarded to Dr. Roberto Caldara
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