"Gradient-based learning drives robust representations in recurrent neural ..."

Matthew Farrell et al. (2022)

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DOI: 10.1038/S42256-022-00498-0

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type: Journal Article

metadata version: 2024-05-07

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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)

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