Sinaps

Sinaps: A Python library to simulate voltage dynamics and ionic electrodiffusion in neurons - Published in JOSS (2022)

https://github.com/ngltr/sinaps

Science Score: 95.0%

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 JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    2 of 8 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Sociology Social Sciences - 87% confidence
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: ngltr
  • License: other
  • Language: Python
  • Default Branch: master
  • Homepage: http://sinaps.rtfd.io/
  • Size: 38.2 MB
Statistics
  • Stars: 4
  • Watchers: 3
  • Forks: 2
  • Open Issues: 1
  • Releases: 3
Created over 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

status status status Documentation Status

SiNAPS

Sinaps is a Python package providing a fast, flexible and expressive tool to model signal propagation and ionic electrodiffusion in neurons. It is an efficient framework to build computational models of voltage and calcium dynamics. It is based on the Cable theory for voltage propagation, and the Nernst-Planck equation for the electrodiffusion of ions.

Figure 1 : Voltage propagation in neuron triggered by synaptic action potential

Documentation

See the documentation

Installation

Install the package:

pip install sinaps

Support

Please ask questions and submit bugs or feature requests on the git-hub issue tracker: https://github.com/ngltr/sinaps/issues

Owner

  • Name: Nicolas
  • Login: ngltr
  • Kind: user

JOSS Publication

Sinaps: A Python library to simulate voltage dynamics and ionic electrodiffusion in neurons
Published
May 15, 2022
Volume 7, Issue 73, Page 4012
Authors
Nicolas Galtier
Independent Researcher
Claire Guerrier ORCID
CRM - IRL3457, LJAD Université Côte d'Azur
Editor
Marie E. Rognes ORCID
Tags
neuroscience voltage propagation calcium electrodiffusion cable theory Nernst-Planck equations

GitHub Events

Total
Last Year

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 198
  • Total Committers: 8
  • Avg Commits per committer: 24.75
  • Development Distribution Score (DDS): 0.561
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Claire Guerrier c****r@g****m 87
Nicolas 4****r 74
Claire c****r@u****r 25
Nicolas Galtier n****r@s****m 6
alligator48 4****8 2
Claire c****r@c****r 2
´Marte Julie Sætra m****5@h****m 1
Marte Julie Sætra m****e@s****i 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 9
  • Total pull requests: 8
  • Average time to close issues: 14 days
  • Average time to close pull requests: 15 days
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 0.78
  • Average comments per pull request: 0.13
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • martejulie (8)
  • meg-simula (1)
Pull Request Authors
  • ngltr (5)
  • martejulie (2)
  • Fricker95 (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

setup.py pypi
  • datashader *
  • hvplot *
  • networkx *
  • numba >=0.55
  • numpy *
  • pandas *
  • param ==1.10.0
  • quantiphy *
  • scipy >=1.0.0
  • tqdm *
docs/requirements.txt pypi
  • bokeh ==2.4.0
  • ipykernel *
  • matplotlib *
  • myst-parser *
  • nbsphinx *
  • param *
  • pillow >=7.1.0
  • sphinx-book-theme *
.github/workflows/draft_paper.yml actions
  • actions/checkout v2 composite
  • actions/upload-artifact v1 composite
  • openjournals/openjournals-draft-action master composite
.github/workflows/python-app.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/python-publish.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite