.. Pynamic Gain documentation master file, created by sphinx-quickstart on Fri May 31 09:59:39 2024. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to the Pynamic Gain documentation! ========================================== Introduction ------------ Pynamic Gain is a Python package that facilitates the creation and analysis of **Dynamic Gain** calculations across multiple distributed setups. It serves three main purposes: * **Distributed setup management**: Maintain an overview of setups and seeds used to ensure reproducibility and uniqueness of stimuli across multiple setups. * **Create Input Stimuli**: Create input stimuli for subsequent dynamic gain calculation. * **Online Analysis**: Perform real-time analysis of stimulated recordings to identify appropriate analysis windows for dynamic gain calculation. In the future, this package will also include the dynamic gain calculation itself. ---------------- .. note:: This project is under active development and will extend in the future. Please write us if you have any questions or suggestions! ---------------- How to start: ------------- .. toctree:: :maxdepth: 1 explanations/first_steps.md explanations/usage.md explanations/motivations.md api_documentation.rst explanations/deep_settings.md explanations/development.md .. ---------------- Institutions ============ .. image:: _static/logo_cidbn.jpg :alt: UniGoettingen Logo :align: center **The developer team is part of the** `Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) `_. .. ---------------- This project is being used in the `NeuroNex Working Memory Consortium `_. .. image:: _static/logo_neuronex.png :alt: NeuroNex Working Memory Consortium :align: center .. ---------------- Funding ------- This project is partially supported by the `Ministry for Science and Culture of Lower Saxony (MWK) `_ .. image:: _static/logo_mwk.png :alt: Ministry of Science and Culture of Lower Saxony :align: center .. Indices and tables .. ================== .. * :ref:`genindex` .. * :ref:`modindex` .. * :ref:`search`