PyPI page
Author:
Shreya Bangera, Patrick Honma, Luiz Tauffer
Summary:
A unified computational and behavioral framework for analyzing goal-directed navigation in complex maze environments using hierarchical probabilistic models.
Latest version:
0.2.0
Required dependencies:
geopandas
|
hmmlearn
|
joblib
|
matplotlib
|
mne
|
movement
|
numpy
|
opencv-python
|
openpyxl
|
pandas
|
plotly
|
pyedflib
|
pyyaml
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
shapely
|
statsmodels
|
umap-learn
|
xgboost
Optional dependencies:
black
|
click
|
ipykernel
|
jupyterlab
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
pytest
|
pytest-cov
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