This is A PREVIEW for NEST 3.0 and NOT an OFFICIAL RELEASE! Some functionality may not be available and information may be incomplete!
Welcome to the NEST simulator documentation!¶
Introducing NEST 3.0!¶
Our aim with NEST 3.0 is to provide a more intuitive experience with simplified yet versatile handling and manipulation of nodes and connections.
We have provided a guide to NEST 3.0 , including examples of the new functionality.
You can also checkout our NEST 2.X vs. NEST 3.0 conversion reference guide to get a comparison between old and new syntax.
If you use NEST for your project, don’t forget to cite NEST!
NEST is a simulator for spiking neural network models, ideal for networks of any size, for example:
Models of information processing e.g., in the visual or auditory cortex of mammals,
Models of network activity dynamics, e.g., laminar cortical networks or balanced random networks,
Models of learning and plasticity.
- New to NEST?
Start here at our Getting Started page
- Have an idea of the type of model you need?
Click on one of the images to access our model directory:
Create complex networks using the Topology Module or the Microcircuit Model:
- Need a different model?
Check out how you can create you own model here.
- Have a question or issue with NEST?
See our Getting Help page.
How the documentation is organized¶
Tutorials show you step by step instructions using NEST. If you haven’t used NEST before, the PyNEST tutorial is a good place to start.
Example Networks demonstrate the use of dozens of the neural network models implemented in NEST.
Reference Material provides a quick look up of definitions, functions and terms.
If you have any comments or suggestions, please share them on our Mailing List.
Want to contribute code? Check out our Developer Space to get started!
For more info about our larger community and the history of NEST check out the NEST Initiative website