https://github.com/alleninstitute/dipde

Numerical solver for coupled population density equations

https://github.com/alleninstitute/dipde

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 5 committers (20.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.0%) to scientific vocabulary

Keywords

modeling neuroinformatics neuroscience python scientific-computations

Keywords from Contributors

interactive archival projection sequences observability autograding hacking shellcodes modular network-simulation
Last synced: 5 months ago · JSON representation

Repository

Numerical solver for coupled population density equations

Basic Info
Statistics
  • Stars: 24
  • Watchers: 10
  • Forks: 14
  • Open Issues: 8
  • Releases: 0
Topics
modeling neuroinformatics neuroscience python scientific-computations
Created over 10 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

Build Status

DiPDE (dipde) is a simulation platform for numerically solving the time evolution of coupled networks of neuronal populations. Instead of solving the subthreshold dynamics of individual model leaky-integrate-and-fire (LIF) neurons, dipde models the voltage distribution of a population of neurons with a single population density equation. In this way, dipde can facilitate the fast exploration of mesoscale (population-level) network topologies, where large populations of neurons are treated as homogeneous with random fine-scale connectivity.

Level of support

We are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.

Copyright 2020 Allen Institute

Owner

  • Name: Allen Institute
  • Login: AllenInstitute
  • Kind: organization
  • Location: Seattle, WA

Please visit http://alleninstitute.github.io/ for more information.

GitHub Events

Total
  • Watch event: 2
  • Fork event: 1
Last Year
  • Watch event: 2
  • Fork event: 1

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 154
  • Total Committers: 5
  • Avg Commits per committer: 30.8
  • Development Distribution Score (DDS): 0.149
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Nicholas Cain n****c@a****g 131
Nicholas Cain n****e@g****m 14
kaeldai k****i@g****m 5
Shival Dasu s****2@g****m 3
dependabot[bot] 4****] 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 8
  • Total pull requests: 8
  • Average time to close issues: 4 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 1.63
  • Average comments per pull request: 0.38
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 5
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
  • nicain (5)
  • sanjayankur31 (1)
  • keszybz (1)
  • espenhgn (1)
Pull Request Authors
  • dependabot[bot] (5)
  • nicain (2)
  • kaeldai (1)
Top Labels
Issue Labels
bug (1) duplicate (1)
Pull Request Labels
dependencies (5)

Dependencies

environment.yml conda
  • matplotlib 1.5.*
  • mpi4py 2.0.0
  • numpy 1.10.*
  • pandas 0.16.*
  • pytest 2.8.*
  • pytest-cov 2.2.*
  • python 2.7.*
  • pyzmq 15.2.*
  • scipy 0.16.*
  • setuptools 7.*
  • sympy 1.0.*
requirements.txt pypi
  • coverage ==4.2
  • cycler ==0.10.0
  • dipde ==0.2.0
  • matplotlib ==1.5.1
  • mpi4py ==2.0.0
  • mpmath ==0.19
  • numpy ==1.22.0
  • pandas ==0.16.2
  • py ==1.4.31
  • pyparsing ==2.1.4
  • pytest ==2.8.5
  • pytest-cov ==2.2.1
  • python-dateutil ==2.6.0
  • pytz ==2016.7
  • pyzmq ==15.2.0
  • scipy ==0.16.1
  • six ==1.10.0
  • sympy ==1.0