This repository contains the code and data necessary to reproduce the figures from our publication: Replay of Procedural Experience is Independent of the Hippocampus.
This repository includes:
- Scripts for producing the main figures from preprocessed data.
- Data to reproduce figures from publication
- Example preprocessing code and data.
Ensure you have the following software installed:
-
Clone this repository:
git clone https://github.com/StephensonJonesLab/Thompson_et_al_2026.git
-
Dependencies:
This project provides two ways to install dependencies:
- Conda environment (
environment.yaml) — recommended - pip (
requirements.txt) — lightweight alternative
conda env create -f Thompson_et_al_2026.yamlconda activate Thompson_et_al_2026If you prefer a standard Python virtual environment:
pip install -r requirements.txt- Download the data files:
Download the data file from Zenodo. DOI: https://doi.org/10.5281/zenodo.20055819
- Unzip the data and move it into the cloned directory.
- IMPORTANT: This file must be named 'data' and must be placed inside the main parent repo file directory.
Reproducing the Main Figures To reproduce the main figures and statistics from the publication, run the tidied notebook scripts in the scripts directory. Each script corresponds to a main figure, extended data figure or supplementary data figure in the paper.
Due to storage space limitations partial example data is shared. The full data set is available on request.
Note:
- Plotting data are minimal (to save storage space) but sufficent to reproduce figures from the text.
- Example data and preprocessing scripts are provided to outline data analysis pipelines prior to plotting.
This project is licensed under the MIT License. See the LICENSE file for details.
Copyright 2026 Thompson et al., University College London