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One hypothesis is that the neural units in a CNN model hundreds or thousands of individual neurons, including some neurons used to produce/transmit error signals.

This seems reasonable, but I doubt there is any single simple and general abstraction that can describe the learning algorithms used by physical neurons. It seems more likely that the brain uses many highly specialized algorithms for different regions of the brain, each shaped by a ~billion years of evolution.




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