Information Technology Reference
In-Depth Information
Table 12.1
The values of the strongest 5 ICA components for the
first 10 measures of
Beethoven
'
s music yielded by the subject
'
composer
'
Beethoven measure
ICA 25
ICA 15
ICA 14
ICA 8
ICA 5
1
7
5
5
5
2
2
5
5
8
5
8
3
7
3
5
5
6
4
5
8
3
5
2
5
5
7
4
4
4
6
6
6
4
5
3
7
7
8
5
6
3
8
4
6
3
4
3
9
6
6
4
5
4
10
5
7
5
5
3
17, 16 and 13. The time series were normalised to range from 0 to 9. As a last step,
the varying components were resampled to match the timing of the Beethoven score
measure by measure. Thus, each time point was indexed to a measure of the
Beethoven score. The movement comprises 278 measures; therefore, each ICA
component comprises a time series of 278 values, ranging from 0 (meaning lowest
fMRI intensity) to 9 (highest fMRI intensity). As an example, Table
12.1
shows the
values of the
first 5 strongest ICA components (that is, 25, 15, 14, 8 and 5) for the
first 10 measures of Beethoven
'
s music, yielded by the fMRI of the subject
'
first listening pass in the scanner.
To accompany the premiere of
Symphony of Minds Listening
, the ICA data were
animated on a large screen projection behind the orchestra. The whole brain
appeared as a transparent frame, derived from a standard anatomical template.
Within this image, each component was assigned a distinct colour, and brightened
and faded according to the intensity of component activity at each time point. The
animations were created using MATLAB software (MathWorks
2014
), using
custom-made functions. The remaining of this chapter focuses on the compositional
process and the MusEng software.
composer
'
during the
12.6
The Compositional Process
The actual composition of
Symphony of Minds Listening
is primarily the work of
the
first co-author and involved a number of creative stages and practices, some
which were not systematically documented. That
is to say,
the compositional
process involved manual and computer-automated procedures.
