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README.md

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 # Stat4Ci-Toolbox
 
+Functions to analyze Classification Images
+
+ DEMOSTAT4CI illustrates the usage of the Stat2Ci toolbox on two classification images from:
+		Gosselin, F. & Schyns, P. G. (2001).  Bubbles: A technique to reveal the use of information 
+ 		in recognition. Vision Research, 41, 2261-2271.
+ 	The Stat4Ci toolbox allows to perform the Pixel and the Cluster tests, both based on Random Field 
+ 	Theory. These tests are easy to apply, requiring a mere four pieces of information; and they 
+ 	typically produce statistical thresholds (or p-values) lower than the standard Bonferroni correction.
+
+	An excellent non-technical reference is:
+ 		K. J. Worsley (1996) the geometry of random image. Chance, 9, 27-40.
+
+	We borrowed from several sources: the STAT_THRESHOLD function was written by Keith Worsley for the fmristat toolbox
+ 	(http://www.math.mcgill.ca/~keith/fmristat); and our DISPLAYCI function calls many functions from the 
+	Image Processing toolbox.
+
+ The Stat4Ci toolbox is free (http://mapageweb.umontreal.ca/gosselif/stat4ci.html); if you use 
+ it in your research, please, cite us:
+	Chauvin, A., Worsley, K. J., Schyns, P. G., Arguin, M. & Gosselin, F. (2004).  A sensitive 
+	statistical test for smooth classification images.
+
+ Alan Chauvin ([email protected]) & Frédéric Gosselin ([email protected]), 20/08/2004