![](bg7.png)
However, considering hidden node 4, each class (brand, object, and person) is
discriminated. It is possible to conclude that this node is able to successfully
segregate among classes, which is also supported by the data in Table 1 and Table 2.
In fact, the cells with correct hits (grey background) concentrate the majority of the
assessments and have the lowest probability values.
Nonetheless, discriminating between preferred and indifferent brands it is not so
good. The values of the four cells that involve preferred and indifferent brands in
Table 1 are approximate, and in the case of indifferent brands, the network has more
tendency to classify as preferred brands. The analysis of the same four cells in Table
2 confirms this observation. The reason for such has to be explored. The problem
may be intrinsic to the stimulus, because of its low salience, or the method has to be
improved in order to attain such refinement.
IC2 and IC7 (depicted in Fig. 2) are two important sources of data for successful
classification. Interestingly these two brain networks encompass brain regions from
visual and visual associative areas. This is in line with the findings of Hanson,
Matsuka and Haxby [4], which also found in fusiform gyri sources of cognitive data
for accurate classification.
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