Decision-making emerges from distributed computations across multiple brain areas, but it is unclear the brain distributes the computation. In deep learning, artificial neural networks use multiple areas (or layers) to form optimal representations of task inputs. These optimal representations are to perform the task well, but so they are invariant to other irrelevant variables.
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