The Hyperscanning Python Pipeline
📖 See our paper for more explanation and our plan for upcoming functionalities (aka Roadmap).
🤝 If you want to help you can submit bugs and suggestions of enhancements in our Github Issues section.
🤓 For the motivated contributors, you can even help directly in the developpment of HyPyP. You will need to install Poetry (see section below).
Original authors: Florence BRUN, Anaël AYROLLES, Phoebe CHEN, Amir DJALOVSKI, Yann BEAUXIS, Suzanne DIKKER, Guillaume DUMAS New contributors: Ghazaleh RANJBARAN, Quentin MOREAU, Caitriona DOUGLAS, Franck PORTEOUS, Jonas MAGO, Juan C. AVENDANO, Julie BONNAIRE
pip install HyPyP
HyPyP documentation of all the API functions is available online at hypyp.readthedocs.io
For getting started with HyPyP, we have designed a little walkthrough: getting_started.ipynb
🛠 io.py — Loaders (Florence, Anaël, Ghazaleh, Franck, Jonas, Guillaume)
🧰 utils.py — Basic tools (Amir, Florence, Guilaume)
⚙️ prep.py — Preprocessing (ICA & AutoReject) (Anaël, Florence, Guillaume)
🔠 analyses.py — Power spectral density and wide choice of connectivity measures (Phoebe, Suzanne, Florence, Ghazaleh, Juan, Guillaume)
📈 stats.py — Statistics (permutations & cluster statistics) (Florence, Guillaume)
🧠 viz.py — Inter-brain visualization (Anaël, Amir, Florence, Guillaume)
🎓 Tutorials - Examples & documentation (Anaël, Florence, Yann, Ghazaleh, Caitriona, Guillaume)
Step 1: pip install poetry
Step 2: git clone [email protected]:ppsp-team/HyPyP.git
Step 3: cd HyPyP
Step 4: poetry install
Step 5: poetry shell
You can now use jupyter notebook
or ipython
!
poetry add THE_NAME_OF_THE_LIBRARY
instead of your usual package manager.