Table 1. Classification accuracies using the maximum amplitude vector and the maximum time point vector.

	Mean values for the percent of correct answers above chance (%)
	maximum amplitude vector	maximum time point vector	p
B vs K	23	17.54	p>0.05
B vs R	16.17	6.78	p<0.05
B vs S	27.65	−8.38	*p<0.01
B vs C	18.93	3.64	*p<0.01

Mean values of correct responses obtained for classification between constrained and unconstrained conditions. Values are reported as percentage above chance levels. The asterisk marks cases for which the categorization success using the maximum amplitude vector was significantly higher than with the maximum time point vector. Statitical tests were carried out using a Friedmann test followed by the Wilcoxon tests with a Bonferroni correction for multiple comparisons.