Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion - researchr publication

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Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown. Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. Nat. Mach. Intell., 4(6):564-573, 2022. [doi]

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