From 91681a35f3ce8e505f0bed8fb35af6e26d3218a8 Mon Sep 17 00:00:00 2001 From: Anophele Date: Sat, 30 Nov 2019 21:41:07 +0100 Subject: [PATCH] Update README.md --- README.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d25fa6a..eefcd9e 100644 --- a/README.md +++ b/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 (Alan.Chauvin@univ-grenoble-alpes.fr) & Frédéric Gosselin (frederic.gosselin@umontreal.ca), 20/08/2004 \ No newline at end of file