Once upon a time, it was considered that the hippocampus was learning regularities in the input flow by mean of unsupervised learning.
A type of learning adapted to that function.
And now that the hammer of backprop and Deep Learning is getting bigger and bigger, more and more models use backprop from motor output up to sensory input, thus implying that the HPC is a nail like any other, driven by supervised learning.
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I just can't buy that.
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I still teach that unsupervised learning provides nice explanations for HPC activity.
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