Skip to main content
. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: J Neural Eng. 2015 Jul 14;12(4):046027. doi: 10.1088/1741-2560/12/4/046027

Figure 8.

Figure 8

The classifier trained with transfer learning achieved higher classification accuracy than the traditional classifier in one of the primary auditory and visual ROIs tested. Left: ROIs include components of primary auditory cortex (anterior transverse temporal gyrus; green) and primary visual cortex including calcarine sulcus, occipital pole, and cuneus (increasingly darker shades of blue, respectively). Right: Accuracy of the transfer learning classifier ± SEM as a function of pool size for the auditory and visual ROIs averaged over 21 subjects repeated 25 times. Accuracy of the subject-specific classifier is indicated by the circular markers, left. Chance accuracy is 50%. Note scale difference from other BCI ROI figures.