Update README.rst

README.rst

@@ -1,18 +1,18 @@
 .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.10161177.svg
     :target: https://doi.org/10.5281/zenodo.10161177
 
-dFC
+pydfc
 =======
-An implementation of several well-known dynamic Functional Connectivity assessment methods.
+An implementation of several well-known dynamic Functional Connectivity (dFC) assessment methods.
 
 Simply do these steps in the main repository directory to learn how to use the dFC functions:
-  * ``conda create --name multi_analysis_dfc_env python=3.8.5``
-  * ``conda activate multi_analysis_dfc_env``
+  * ``conda create --name pydfc_env python=3.11``
+  * ``conda activate pydfc_env``
   * ``pip install -e '.'``
   * run the code cells in demo jupyter notebooks
 
-The ``dFC_methods_demo.ipynb`` illustrates how to load data and apply each of the implemented dFC methods individually.
-The ``multi_analysis_demo.ipynb`` illustrates how to use the ``multi_analysis_dfc`` toolbox to apply multiple dFC methods at the same time on a dataset and compare their results.
+The ``dFC_methods_demo.ipynb`` illustrates how to load data and apply each of the dFC methods implemented in the ``pydfc`` toolbox individually.
+The ``multi_analysis_demo.ipynb`` illustrates how to use the ``pydfc`` toolbox to apply multiple dFC methods at the same time on a dataset and compare their results.
 
 For more details about the implemented methods and the comparison analysis see `our paper <https://www.biorxiv.org/content/10.1101/2023.07.13.548883v2>`_.