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Revert "Expand code/readme.md with directory structure and execution order" #3

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Merged
fzakirov merged 1 commit into from
Apr 14, 2026
Merged

Revert "Expand code/readme.md with directory structure and execution order" #3

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27 changes: 2 additions & 25 deletions code/readme.md
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# Code

This folder contains the code used to process behavioral and EEG data, fit models, compute statistics, and generate figures for the project.
### Instructions
This folder contains the code used to create post-processed derivatives, statistics, and figures.

### Directory Structure

* **`behavior/`**: Scripts for analyzing and processing behavioral log files, and creating valid behavioral datasets.
* **`preprocessing-eeg/`**: Scripts and pipelines (e.g., MADE) for preprocessing raw EEG data. Also includes a `tf/` subfolder with time-frequency scripts.
* **`postprocessing/`**: Scripts for computing ERP means, generating time-frequency (TF) arrays, and combining preprocessed data into formats suitable for modeling and analysis (e.g., CSVs).
* **`ddm/`**: Code for running and fitting the Shrinking-Spotlight Drift Diffusion Model (SSP-DDM) on the processed data, as well as code for parameter recovery.
* **`statistics/`**: R scripts and Jupyter notebooks for performing statistical analyses (e.g., Linear Mixed Models) on the resulting datasets.
* **`figures/`**: Scripts for generating plots and visualizations (e.g., ERP plots).
* **`matlab/`**: Shared utility functions and scripts for MATLAB operations.
* **`python/`**: Shared utility modules and functions for Python operations.

### Expected Order of Execution

1. **Preprocessing**:
- Run behavioral processing scripts in `behavior/`.
- Run EEG preprocessing scripts (like the MADE pipeline) in `preprocessing-eeg/`.
2. **Postprocessing**:
- Use scripts in `postprocessing/` to compute ERP means, TF arrays, and generate unified datasets (e.g., the DDM CSV).
3. **Modeling**:
- Run the SSP-DDM model fitting on the processed behavioral and EEG data using scripts in `ddm/`.
4. **Statistics**:
- Perform statistical analyses on the final processed datasets and model outputs using scripts in `statistics/`.
5. **Figures**:
- Generate final visualizations using scripts in `figures/`.

### Project Notes
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