The objects we perceive are hidden variables in an observer function that predicts a very sparse sampling of the universe state vector.
7. Objects, features and categories are basically functionally local nodes in hidden layers in a hierarchical recurrent neural network.
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This is an insight from computer science. Our brain learns computer programs with variables, and these variables are the things we perceive.
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