Published March 5, 2025
| Version v1
Dataset
Data for figures in "Contrastive learning through implicit non-equilibrium memory"
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