explaingit

rougier/neurosciences

Analysis updated 2026-07-17 · repo last pushed 2015-02-09

31PythonAudience · researcherComplexity · 3/5DormantSetup · moderate

TLDR

A Python collection of runnable code implementations for computational neuroscience models from published research papers, so you can experiment with them directly.

Mindmap

mindmap
  root((neurosciences))
    What it does
      Runnable model code
      Reproduces papers
      Neuroscience research
    Audience
      Researchers
      Graduate students
      Enthusiasts
    Use cases
      Experiment with models
      Learn how brain models work
      Build on published work
    Notes
      Minimal README
      Open source Python
      Reproducibility focus

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Run a working implementation of a published neuroscience model instead of translating equations from a paper yourself.

USE CASE 2

Tweak parameters of an existing model to see how neurons or learning behavior change.

USE CASE 3

Use a clean reference implementation as a starting point for your own computational neuroscience research.

What is it built with?

Python

How does it compare?

rougier/neurosciencescoleam00/harness-engineering-democolor4-alt/citecheck
Stars313131
LanguagePythonPythonPython
Last pushed2015-02-09
MaintenanceDormant
Setup difficultymoderatemoderateeasy
Complexity3/53/52/5
Audienceresearcherdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

README is minimal and doesn't clearly document which models are included or how to run each one.

License details not mentioned in the explanation.

Copy-paste prompts

Prompt 1
Help me understand and run one of the neuroscience model implementations in this repository step by step.
Prompt 2
Show me how to tweak the parameters of a neuron model here to see how its behavior changes.
Prompt 3
Explain the math behind one of these implemented neuroscience models in plain English before I run the code.
Prompt 4
How would I extend one of these Python neuroscience models to test a new hypothesis?

Frequently asked questions

What is neurosciences?

A Python collection of runnable code implementations for computational neuroscience models from published research papers, so you can experiment with them directly.

What language is neurosciences written in?

Mainly Python. The stack also includes Python.

Is neurosciences actively maintained?

Dormant — no commits in 2+ years (last push 2015-02-09).

What license does neurosciences use?

License details not mentioned in the explanation.

How hard is neurosciences to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is neurosciences for?

Mainly researcher.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.