Software:Documentation

From NEST

There are a number of starting points to get an overview of NEST:

1. Read the NEST article on Scholarpedia.org
2. Look at the SfN 2008 NEST Poster (pdf)

NEST 2.0 Tutorials and Examples

During 2011 spring semester class Large-Scale Neural Modeling at Stanford University given by Dr. Kwabena Boahen and assisted by Peiran Gao, the following exercises were assigned:

• Assignment 1: Synchrony, updated 08 Apr 2011
• Assignment 2: Bumps and Working Memory, updated 11 Apr 2011
• Assignment 3: IF Neuron Firing Rates and Balanced Networks, updated 17 Apr 2011

At the BCCN Tutorial at CNS July 2009, Hans Ekkehard Plesser gave a tutorial on Large-Scale Neuronal Network Models: Principles and Practice. The following material from the tutorial session is available for download:

• Tutorial Slides, updated 12 Aug 2009
• Example script with comments and results implementing a toy variant of the Hill-Tononi model, updated 12 Aug 2009
• Archive with example scripts from tutorial, updated to use FindConnections (NEST 1.9.r8410 or later) 11 May 2010

The scripts will not work with NEST earlier than 1.9.r8410, because FindConnections has replaced GetConnections.

NEST 2.0 User's Manual

• Installing NEST
• Getting started
• Frequently Asked Questions
• PyNEST: Using NEST from Python
• Using NEST with the SLI interpreter
• Connection Management
• Topological Connections
• Topology User Manual for NEST 2.0-RC2 and later (PDF)
• Analog recording with multimeter
• Random numbers in NEST
• Parallel Computing
• Using NEST with MUSIC
• Example networks

NEST 2.0 Developer's Manual

• Source Code Layout
• Coding Guidelines
• Continuous Integration
• Writing an Extension Module
• Developing Models
• Developing Synapse Types
• Synapses in NEST: An overview
• Converting models to support multimeter recording