This code is associated with the paper from Rule et al., "Stable task information from an unstable neural population". eLife, 2020. http://doi.org/10.7554/eLife.51121
Source code files for the paper "Stable Task Information from an Unstable Neural Population".
Datasets from Driscoll et al. 2017 are needed to run these analyses. Contact LND or CDH to obtain the datasets necessary to reproduce these analyses. These datasets are also available from the Dryad repository.
Version 1/Loback contains ARL's Matlab source code. This was used to render Figure 2, as well as in prelimenary analyses for Figures 3 and 4. There are also some plotting scipts in Python.
Version 2/Rule/ contains MER's analysis code used to prepare figures 3, 4, 5, and the supplemental figures, in the form of iPython notebooks and Python source files. A copy of the neurotools Python library is included. This has a lot of dependencies, but only a limited subset of the library is needed for these analyses. Regenerating all figures from scratch should take about a week on a high-performance laptop. To avoid recomputation, intermediate results are cached in PPC_cache.
Version 2/Raman/ contains DVR's simulation code in Julia for sampling from the null model.