From: Combination of subcortical color channels in human visual cortex
Journal of Vision. 2010;10(5):25. doi:10.1167/10.5.25
Figure Legend:
Univariate and Multivariate Classifier Performance across subjects. Mean univariate and multivariate classifier accuracy
across subjects for each visual area are plotted in light gray and dark blue bars, respectively. Error bars indicate ±1
standard deviation of the population of classification accuracy estimates generated using the permutation analysis.
Chance performance (50%) is shown with the dashed line. In all visual areas except MT+, the multivariate classification
accuracy was significantly (p < 0.01, one-tailed permutation test) above the chance performance predicted by the
permutation analysis, while the univariate classification accuracy was significantly above chance (p < 0.05, one-tailed
permutation
test)7/12/2017
in all areas. The multivariate
pattern
outperformed
the Copyright
univariate©classifier,
and this
Date
of download:
The Association
forclassifier
Researchgenerally
in Vision and
Ophthalmology
2017. All rights
reserved.
difference was significant (p < 0.01, two-tailed permutation test) for areas V1 and V2 when compared with the differences