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Mind, Body, World- Foundations of Cognitive Science, 2013a

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to one point, and chords whose root belongs to the other are mapped to the other<br />

point. Interestingly, there is no systematic relationship in the graph that maps onto<br />

the two circles. For instance, it is not the case that the four points toward the back<br />

<strong>of</strong> the Figure 4-12 cube all map onto the same circle <strong>of</strong> major seconds.<br />

1.0<br />

6th<br />

Major7<br />

H3<br />

0.5<br />

1.0<br />

H2 0.5<br />

Dom7<br />

Major<br />

0.0<br />

1.0<br />

0.5<br />

H1<br />

0.0<br />

Figure 4-13. An example <strong>of</strong> output unit partitioning <strong>of</strong> the hidden unit space for<br />

the chord classification network.<br />

Figure 4-13 illustrates how the output units can partition the points in the hidden<br />

unit space in order to classify chords. Each output unit in this network is a value<br />

unit, which carves two parallel hyperplanes through a pattern space. To solve the<br />

chord classification problem, the connection weights and the bias <strong>of</strong> each output<br />

unit must take on values that permit these two planes to isolate the two points associated<br />

with one chord type from all <strong>of</strong> the other points in the space. Figure 4-13<br />

shows how this would be accomplished by the output unit that signals that a 6 th<br />

chord has been detected.<br />

4.11 Trigger Features<br />

For more than half a century, neuroscientists have studied vision by mapping the<br />

receptive fields <strong>of</strong> individual neurons (Hubel & Wiesel, 1959; Lettvin, Maturana,<br />

McCulloch, & Pitts, 1959). To do this, they use a method called microelectrode<br />

172 Chapter 4

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