Retrospective Memory-Linking 2024 Data

This repository contains the datapoints representing the data reported in Zaki et al., Nature, 2024 (PMID: 39506117).

Each figure (main and extended) has a folder within which exist CSV files for each data panel. To remake any of the figures, use the jupyter notebooks in the Remake_Figures folder. This code was written with the following package versions:

• python == 3.8.5
• pandas == 1.3.3
• numpy == 1.19.2
• scipy == 1.6.0
• plotly == 5.6.0