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We need to keep
the efficiency of using a gradient method
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for adjusting the
weights, but use it for modeling the
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structure of the
sensory input.
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Adjust
the weights to maximize the probability that a
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generative
model would have produced the sensory
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input.
This is the only place to get 10^5 bits per second.
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Learn
p(image) not p(label | image)
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What kind of
generative model could the brain be using?
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