.. HierarchBayesParcel documentation master file, created by sphinx-quickstart on Mon Jan 8 14:54:28 2024. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. HierarchBayesParcel's documentation =================================== This repository implements the hierarchical Bayesian framework for learning brain parcellations across task-based and resting-state fMRI datasets. The technical details are described in the following `paper `_, and we have applied the framework to generate a new probabilistic `atlas of the human cerebellum `_. The code for this framework is openly available. You can use this repository to: * Learn new probabilistic brain parcellations across multiple fMRI datasets using other datasets for different brain structures. * Use existing probabilistic atlases to obtain individualized brain parcellations for new subjects through the optimal integration of individual localizer data and the group atlas. Diedrichsen Lab, Western University .. toctree:: :maxdepth: 2 :caption: Contents: install.rst overview.rst atlas_training_example indiv_parcel.rst math.rst gpu_acceleration.rst reference.rst literature.rst Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` Repository ---------- GitHub repository link: https://github.com/DiedrichsenLab/HierarchBayesParcel License ------- Please find out our development license (MIT) in ``LICENSE`` file. Bug reports ----------- For any problems and questions, please use the issues page on this repository. https://github.com/DiedrichsenLab/HierarchBayesParcel/issues. We will endeavour to answer quickly.