From 7bd84333878961bfca8bf10858596d270873c8d3 Mon Sep 17 00:00:00 2001 From: Anophele Date: Sat, 30 Nov 2019 21:31:02 +0100 Subject: [PATCH] Update README.md --- README.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/README.md b/README.md index 668558b..d25fa6a 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,24 @@ # 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 (Alan.Chauvin@univ-grenoble-alpes.fr) & Frédéric Gosselin (frederic.gosselin@umontreal.ca), 20/08/2004 \ No newline at end of file