functional-connectivity

Sensing the functional connectivity of the brain

https://github.com/junipertcy/functional-connectivity

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, acm.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.2%) to scientific vocabulary

Keywords

computational-neuroscience convex-optimization dandi-archive functional-connectivity graphical-models spike-trains
Last synced: 4 months ago · JSON representation

Repository

Sensing the functional connectivity of the brain

Basic Info
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 1
  • Open Issues: 2
  • Releases: 2
Topics
computational-neuroscience convex-optimization dandi-archive functional-connectivity graphical-models spike-trains
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

PythonVersion PyPI Black license

functional-connectivity implements a set of tools to detect and sense changes in a functional network from spike counts

This is the software repository behind the paper:

  • Tzu-Chi Yen and Yi-Yun Ho, Mapping functional neuronal networks to behavioral states, in preparation (2024).

Read it on: arXiv.

  • For full documentation, please visit this site.
  • For general Q&A, ideas, or other things, please visit Discussions.
  • For software-related bugs, issues, or suggestions, please use Issues.

Installation

functional-connectivity is available on PyPI: pip install functional-connectivity

The dependencies needed to interact with Dandi are not installed by default. You will need to run: * pip install --ignore-installed --no-binary=h5py h5py scipy numba

Development

Remember that ./docs contains the documentation of this library. You would need AWS credentials to be able to execute ./docs/deploy.sh.

To install the dependencies, use the following snippets. pip install toml python scripts/pyproject2req.py pip install -r requirements.txt

Acknowledgement

The functional-connectivity library is supported by The Kavli Foundation. TCY wants to thank Rebecca Morrison (@rebeccaem) and Stephen Becker (@stephenbeckr) for inspirations.

We also want to thank the authors in these software implementations: * cvxgrp/strat_models * GalSha/GLASSO_Framework: arXiv (2023) * tpetaja1/tvgl: KDD (2017), time-varying GGM using ADMM and Python 2.7.

License

functional-connectivity is open-source and licensed under the GNU Lesser General Public License v3.0.

Owner

  • Name: Tzu-Chi Yen
  • Login: junipertcy
  • Kind: user
  • Location: United States
  • Company: Global Healthcare Exchange

Networks and Science

Citation (CITATION.cff)


      

GitHub Events

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  • Watch event: 2
Last Year
  • Watch event: 2

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 20 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
pypi.org: functional-connectivity

Sensing functional connectivity in the brain, in Python

  • Documentation: https://functional-connectivity.readthedocs.io/
  • License: GNU LESSER GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/> Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. This version of the GNU Lesser General Public License incorporates the terms and conditions of version 3 of the GNU General Public License, supplemented by the additional permissions listed below. 0. Additional Definitions. As used herein, "this License" refers to version 3 of the GNU Lesser General Public License, and the "GNU GPL" refers to version 3 of the GNU General Public License. "The Library" refers to a covered work governed by this License, other than an Application or a Combined Work as defined below. An "Application" is any work that makes use of an interface provided by the Library, but which is not otherwise based on the Library. Defining a subclass of a class defined by the Library is deemed a mode of using an interface provided by the Library. A "Combined Work" is a work produced by combining or linking an Application with the Library. The particular version of the Library with which the Combined Work was made is also called the "Linked Version". The "Minimal Corresponding Source" for a Combined Work means the Corresponding Source for the Combined Work, excluding any source code for portions of the Combined Work that, considered in isolation, are based on the Application, and not on the Linked Version. The "Corresponding Application Code" for a Combined Work means the object code and/or source code for the Application, including any data and utility programs needed for reproducing the Combined Work from the Application, but excluding the System Libraries of the Combined Work. 1. Exception to Section 3 of the GNU GPL. 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You may convey such object code under terms of your choice, provided that, if the incorporated material is not limited to numerical parameters, data structure layouts and accessors, or small macros, inline functions and templates (ten or fewer lines in length), you do both of the following: a) Give prominent notice with each copy of the object code that the Library is used in it and that the Library and its use are covered by this License. b) Accompany the object code with a copy of the GNU GPL and this license document. 4. Combined Works. 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  • Latest release: 0.1.3
    published about 2 years ago
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 20 Last month
Rankings
Dependent packages count: 9.8%
Average: 38.8%
Dependent repos count: 67.9%
Maintainers (1)
Last synced: 5 months ago

Dependencies

.github/workflows/release.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • pypa/gh-action-pypi-publish v1.8.10 composite
pyproject.toml pypi
  • dandi ==0.58.1
  • h5py ==3.10.0
  • jupyterlab ==4.0.7
  • loky ==3.4.1
  • matplotlib ==3.8.0
  • networkx ==latest
  • numba ==0.58.1
  • numpy ==1.26.1
  • nwbwidgets ==0.11.3
  • scikit-learn ==1.3.2
  • urllib3 ==1.26.9
  • xarray ==2023.10.1
.github/workflows/tests.yml actions
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • pre-commit/action v3.0.0 composite
requirements.txt pypi
  • click >=8.1.7
  • dandi >=0.62.1
  • h5py >=3.11.0
  • jupyterlab >=4.2.1
  • loky >=3.4.1
  • matplotlib >=3.9.0
  • networkx >=3.3
  • numba >=0.59.1
  • numpy >=1.26.4
  • nwbwidgets >=0.11.3
  • pytest >=8.2.1
  • scikit-learn >=1.5.0
  • sphinx >=7.3.7
  • urllib3 >=2.2.1
  • xarray >=2024.5.0