Published March 5, 2025 | Version v1
Dataset

Data for figures in "Contrastive learning through implicit non-equilibrium memory"

  • 1. University of Chicago

Description

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.

Additional details

Identifiers

DOI
10.6084/m9.figshare.25057793.v1
Other
oai:uchicago.tind.io:14693

Related works

Is cited by
10.1038/s41467-025-57043-x (DOI)
Is supplemented by
10.6084/m9.figshare.25057793.v1 (DOI)

Funding

National Science Foundation
DMR-2239801
NIGMS
R35GM151211
Schmidt Sciences
Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
Center for Living Systems, National Science Foundation
2317138

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Physics