Update README.md

README.md

@@ -9,16 +9,13 @@ Functions to analyze Classification Images
  	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.
+	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.
+ The Stat4Ci toolbox is free if you use  it in your research, please, cite us:
+	Chauvin, A., Worsley, K. J., Schyns, P. G., Arguin, M. & Gosselin, F. (2005).  Accurate statistical test for smooth classification images; Journal of Vision, 5(1), doi:https://doi.org/10.1167/5.9.1
 
  Alan Chauvin ([email protected]) & Frédéric Gosselin ([email protected]), 20/08/2004