MEG project on temporal dynamics of category-based attention
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed or modified.
│ ├── processed <- The final, canonical data sets for analyses.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── support <- Data dictionaries, manuals, and all other explanatory materials,
│ including debriefing etc. from experiment.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
└── code <- Source code for use in this project.
├── __init__.py <- Makes `code` a Python module
│
├── analyses <- Scripts to analyze the data
│
├── base <- Base python functions used to analyze the data
│ ├── __init__.py <- Makes `base` a Python module
│ ├── formatting_basics.py <- Functions to format data for plotting or for statistics
│ ├── plotting_basics.py <- Functions to plot data
│ └── statistics_basics.py <- Functions for basic statistical analyses
│
├── data <- Scripts to format and transform raw data
│
├── presentation <- Scripts generate experimental trials and present the experiment
│ ├── present_experiment.py <- Experiment presentation script
│ ├── generate_trials.py <- Trial generation script
│ ├── img <- Stimuli used
│ └── trials <- Trials generated
│
└── visualization <- Scripts to create exploratory and results oriented visualizations
└── visualize.py
Project based on the cookiecutter data science project template. #cookiecutterdatascience