Examples ======== This section contains focused examples demonstrating specific pyAVS functionality. Each example page shows the real, runnable script from the ``examples/`` directory alongside explanatory prose. For the core **AVSComposer** workflow (the recommended entry point for most analyses), see the dedicated :doc:`../package/composer_guide` instead of this section. .. tip:: New to pyAVS? `pyavs_colab_quickstart.ipynb `__ is a ~15 minute, no-install Colab notebook covering raw MEG + eye tracking, plotting gaze on a scene image, and a fixation-locked MEG comparison -- a gentler starting point than the scripts below, which assume a local data path is already configured. .. toctree:: :maxdepth: 2 :caption: Available Examples source_reconstruction_examples compute_cross_session_filters config_example cocostuff_object_detection real_data_object_detection Source Reconstruction ---------------------- From forward modeling to source localization and population code extraction, see :doc:`source_reconstruction_examples`. Cross-Session Beamformer Filters ----------------------------------- Computing a single set of LCMV beamformer filters shared across a subject's sessions, see :doc:`compute_cross_session_filters`. Configuration ------------- Setting up and inspecting the pyAVS data path / configuration system, see :doc:`config_example`. Object Detection on Scenes ---------------------------- Mapping fixations to MS-COCO / COCO-Stuff object categories, both on synthetic (:doc:`cocostuff_object_detection`) and real (:doc:`real_data_object_detection`) data. Complete Example Scripts -------------------------- All working example scripts live in the ``examples/`` directory at the repository root. We recommend starting with ``avs_composer_example.py`` (covered in :doc:`../package/composer_guide`) to understand the core pyAVS workflow.