README.md 2.2 KB
Analysis
The analysis code used in the study.
- 01_asymmetry: Plots and statistical analysis on whisker asymmetry and pupil positions under different behavioral states.
- 02a_prediction-analysis-ROC: ROC analysis of whisker asymmetry and pupil positions during the backward-running epoch.
- 02b_prediction-analysis-perceptron: Perceptron analysis of whisker asymmetry and pupil positions during the backward-running epoch.
- 03_saccades: Analysis of whisker asymmetry around saccades.
Dependencies
You will need Python ≥ 3.4 to run the code.
| Package | Version used in the paper |
|---|---|
numpy |
1.18.1 |
scipy |
1.4.1 |
matplotlib |
3.1.3 |
statsmodels (used to run kw_dunn.py) |
0.13.0 |
pandas |
1.0.1 |
scikit-learn (only for 02b) |
0.22.1 |
sliding1d |
1.0 |
You can install all the packages via pip (assuming you have an appropriate version of python):
$ pip install numpy scipy matplotlib statsmodels pandas scikit-learn sliding1d
In case anything does not work, consider upgrading/downgrading the package that generates the error.
License
kw_dunn.pyis based on the one being shared at https://gist.github.com/alimuldal/fbb19b73fa25423f02e8 . The authors of this repository do not claim any copyright.- For the other parts of the code (including packages and modules stored in this directory): so long as you cite {{the paper}} or this repository, you are free to reuse, remix, and/or redistribute for any purposes.