gitwtfhub

wtf is neurosciences?

rougier/neurosciences — explained in plain English

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

★ 31PythonAudience · researcherComplexity · 3/5DormantSetup · moderate

TL;DR

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

Why would anyone build with this?

REASON 1

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

REASON 2

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

REASON 3

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

What's in the stack?

Python

How it stacks up

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 spin it up?

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.

Yoink these 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

wtf 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.

View the repo → Decode another repo

This repo across BitVibe Labs

Don't trust strangers blindly. Verify against the repo.

Other repos in this lane