https://github.com/alleninstitute/dipde

Numerical solver for coupled population density equations
https://github.com/alleninstitute/dipde

modeling neuroinformatics neuroscience python scientific-computations

Last synced: about 1 year ago
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Numerical solver for coupled population density equations

• Host: GitHub
• URL: https://github.com/alleninstitute/dipde
• Owner: AllenInstitute
• License: gpl-3.0
• Created: 2015-06-18T22:11:11.000Z (about 11 years ago)
• Default Branch: dev
• Last Pushed: 2023-07-06T21:06:08.000Z (almost 3 years ago)
• Last Synced: 2025-03-25T16:07:52.611Z (over 1 year ago)
• Topics: modeling, neuroinformatics, neuroscience, python, scientific-computations
• Language: Python
• Homepage: http://alleninstitute.github.io/dipde
• Size: 2.16 MB
• Stars: 24
• Watchers: 10
• Forks: 14
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: COPYING

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README

          
[![Build Status](https://travis-ci.org/AllenInstitute/dipde.svg?branch=master)](https://travis-ci.org/AllenInstitute/dipde)

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