Spikeometric

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric - Published in JOSS (2023)

https://github.com/bioai-oslo/spikeometric

Science Score: 98.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Sociology Social Sciences - 64% confidence
Last synced: 4 months ago · JSON representation ·

Repository

Spiking Neural Network Simulator based on Generalized Linear Models

Basic Info
  • Host: GitHub
  • Owner: bioAI-Oslo
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 50.5 MB
Statistics
  • Stars: 8
  • Watchers: 3
  • Forks: 1
  • Open Issues: 3
  • Releases: 1
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

DOI

Spikeometric - Linear Non-Linear Cascade Spiking Neural Networks with PyTorch Geometric

The spikeometric package is a framework for simulating spiking neural networks (SNNs) using generalized linear models (GLMs) and Linear-Nonlinear-Poisson models (LNPs) in Python. It is built on top of the PyTorch Geometric package and makes use of their powerful graph neural network (GNN) modules and efficient graph representation. It is designed to be fast, flexible and easy to use, and is intended for research purposes.

Install

Before installing spikeometric you will need to download versions of PyTorch and PyTorch Geometric that work with your hardware. When you have done that (for example in a conda environment), you are ready to download spikeometric with:

pip install spikeometric

Documentation

For more information about the package and a full API reference check out our documentation.

How to contribute

We welcome contributions from users and developers. If you find bugs, please report an issue on github. If you would like to contribute to new features you can either find an issue you would like to work on, or fork this project and develop something great. Send pull request for review. We will respond as soon as possible.

Owner

  • Name: bioAI
  • Login: bioAI-Oslo
  • Kind: organization

JOSS Publication

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric
Published
September 20, 2023
Volume 8, Issue 89, Page 5451
Authors
Jakob L. Sønstebø ORCID
Department of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway
Herman Brunborg
Department of Physics, University of Oslo, Oslo, Norway
Mikkel Elle Lepperød ORCID
Department of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway, Department of Physics, University of Oslo, Oslo, Norway
Editor
Mehmet Hakan Satman ORCID
Tags
python computational neuroscience machine learning spiking neural networks generalized linear models linear non-linear poisson models

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Sønstebø
  given-names: Jakob L.
  orcid: "https://orcid.org/0009-0009-0584-9293"
- family-names: Brunborg
  given-names: Herman
- family-names: Lepperød
  given-names: Mikkel Elle
  orcid: "https://orcid.org/0000-0002-4262-5549"
doi: 10.5281/zenodo.8358903
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Sønstebø
    given-names: Jakob L.
    orcid: "https://orcid.org/0009-0009-0584-9293"
  - family-names: Brunborg
    given-names: Herman
  - family-names: Lepperød
    given-names: Mikkel Elle
    orcid: "https://orcid.org/0000-0002-4262-5549"
  date-published: 2023-09-20
  doi: 10.21105/joss.05451
  issn: 2475-9066
  issue: 89
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 5451
  title: "Spikeometric: Linear Non-Linear Cascade Spiking Neural
    Networks with Pytorch Geometric"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.05451"
  volume: 8
title: "Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks
  with Pytorch Geometric"

GitHub Events

Total
Last Year

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 137
  • Total Committers: 4
  • Avg Commits per committer: 34.25
  • Development Distribution Score (DDS): 0.431
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
JakobSonstebo j****6@g****m 78
Jakob J****o 31
Herman Brunborg h****n@b****m 18
Mikkel Elle Lepperød l****k@g****m 10
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 8
  • Total pull requests: 24
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 3 days
  • Total issue authors: 3
  • Total pull request authors: 4
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.08
  • Merged pull requests: 21
  • 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
  • Saran-nns (3)
  • lepmik (3)
  • disadone (1)
Pull Request Authors
  • JakobSonstebo (15)
  • lepmik (4)
  • jbytecode (1)
  • hermabr (1)
Top Labels
Issue Labels
bug (1) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 8 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
pypi.org: spikeometric

Spikeometric is a Pytorch Geometric based framework for simulating Spiking Neural Networks using Linear Non-linear Cascade models

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 8 Last month
Rankings
Dependent packages count: 6.6%
Downloads: 17.5%
Average: 20.2%
Forks count: 23.2%
Stargazers count: 23.3%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 4 months ago

Dependencies

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