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Abstract: Data for figures in "Contrastive learning through implicit non-equilibrium memory" 3B: average train and test error as function of training epoch. 4C: dynamic range of learning vs protocol timescales; first row is log10(slow vs fast protocol timescale ratio), second row is log10(dynamic range), third row is log10(fast protocol vs kernel timescale ratio). 5C: offset from contrastive update vs protocol timescales; first row is fast protocol vs kernel timescale ratio, second row is offset normalized by mean protocol value, third row is total protocol time vs kernel timescale ratio. 6B: contrastive update error (offset) vs dissipation; first row is dissipation, second row is offset.

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