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Using one neuron
per entity is inefficient.
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An
efficient code would have each neuron
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active
half the time.
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This
might be inefficient for other purposes (like
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associating
responses with representations).
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Can we get
accurate representations by using
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lots of
inaccurate neurons?
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If
we can it would be very robust against
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hardware
failure.
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