rgc-natstim
This repository contains the data and models underlying the analyses published in Hoefling et al. 2024: A chromatic feature detector signals visual context changes. The code to run the analyses can be found here.
Repository structure
The repository contains two sub-directories holding the data and models, respectively, which are structured as outlined below.
Models
The models directory is further sub-divided into a directory hodling the LN and CNN models, respectively, which each hold folders for individual models identified by hashes.
models/{linear, nonlinear}/{model_hashes}
Data
The data directory is sub-divided into four directories:
- base: holds the basic preprocessed data as .hf files
- movie: holds the movie stimulus files
- mei: holds intermediate analysis results (Figs. 3-5 in the paper)
- response_gradient: holds response gradient analysis results (Fig. 6 in the paper)
How to use this data
Clone* the contents of this repository to your machine using the gin CLI.
Then follow instructions in the GitHub repository to re-run analyses or train models.
*You may have to explicitly download the contents of larger files using the gin get-content command. An UnpicklingError when trying to open a pickle file is usually resolved by downloading the contents of the file.
Authors and acknowledgements
See acknowledgments section in Hoefling et al. 2024: A chromatic feature detector signals visual context changes.
