How many latent variables does a human world model have? How many possible values can each of these variables take?
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Maybe it’s also a question of how the learning function is able to not only account for the variance but also reassign variables to new representations (i.e., structure learning). E.g., in amputees where neighboring sensorimotor areas take over available space.
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