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Until quite
recently, nearly all the models of information processing
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that
psychologists used were inadequate for explaining the effects of
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damage.
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Either
they were symbol processing
models that had no direct
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relationship
to hardware
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Or they were just vague descriptions that
could not actually do
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the
information processing.
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There is no easy
way to make detailed predictions of how hardware
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damage will
affect performance in models of this type.
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Neural net
models have several advantages:
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They
actually do the required information processing rather than
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just
describing it .
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They
can be physically damaged and the effects can be
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observed.
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