Data and code for: Recurrent cortical networks encode natural visual statistics via sequence filtering

This repository contains the data and example analysis notebooks accompanying the manuscript, "Recurrent cortical networks encode natural visual statistics via sequence filtering" Panels from Figures 2 and 3, and the full RNN (Figure 4) are reproduced in the Jupyter notebooks. All quantitative data from the paper is provided as three compressed NumPy archives. --- Repository Structure ``` sequenceFiltering/ ├── data/ ├── ├── figure2_data.npz (All data for Figure 2 (459 MB)) ├── ├── figure3_data.npz (All data for Figure 3 (~6 GB)) ├── ├── figure4_data.npz (All data for Figure 4 (509 MB)) │ ├── code/ │ ├── Figure2_panelBC_npz.ipynb │ ├── Figure3_panelGI_npz.ipynb │ ├── RNN_seqmodel.ipynb │ ├── src/ │ ├── sequence_paper_functions.py │ └── modules_simpleRNN.py │ └── environment.yaml ```