The Neurodynamics of an Election (Pdf
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F. T. Rocha*, E. Massad, A. F. Rocha and M.N. Burattini
Medical Informatics, University of São Paulo, Brazil *fabio@enscer.com.br
The EEG mappings and the Voting Decision Space
The hE(ri) row shows the ßi x hE(ri) map for each ri
and the regression between µ (N) or µ(Y) and hE(ri) calculated
for the EEG activity recorded during advertisement evaluation.
The hI(ri) row shows the ßi x hI(ri) map for each ri
and the regression between µ (N) or µ (Y) and hI(ri) calculated
for the EEG activity recorded during the decision if the advertisement would
or would not influence the vote in the Election day.
The hI(ri) row shows the ßi x hV(ri) map for each ri
and the regression between µ (N) or µ (Y) and hV(ri) calculated
for the EEG activity recorded during the decision of the intended vote.
Although both µi(Y) and µi(N) are theoretical concepts
supported by the Spatial Voting Theory and Fuzzy Logic, they seem to have
a brain existence by themselves once they were found to correlate with hE(ri),
hI(ri) and hV(ri).
If this is the case, then VDS for the referendum was mainly
computed by the right hemisphere, where positive ß predominated for
hE(ri) x ßi and a negative ß predominated for hI(ri) x ß.
The correlations between hv(ri) and µi(Y) or µi(N)
provide other pieces of evidence about VDS being a real brain construction,
because brain activity during vote decision was associated to values of µi(N)
higher than µi(Y), a fact that is in aggreement with the No victory
in the elections and in our poll.
