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NEST is an open-source simulation software for spiking neural networks, developed by the NEST Initiative.

Last updated October 30, 2026

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Overview

NEST is a simulation software for spiking neural network models, including large-scale neuronal networks. It was initially developed by Markus Diesmann and Marc-Oliver Gewaltig and is now developed and maintained by the NEST Initiative. The software aims to follow the logic of an electrophysiological experiment inside a computer, allowing experimenters to define neural systems with large numbers of neurons and connections. NEST supports various neuron and synapse models, and provides devices for measuring and stimulating network activity. It is extensible, allowing new models to be added. NEST emphasizes accuracy and precision, with appropriate solvers for each neuron model and unit tests. It supports parallel and distributed simulation, scaling up to 10,000 cores, and offers interoperability with PyNN and the Multi Simulator Coordinator. The primary user interface is PyNEST, a Python package, and it also maintains the SLI simulation language. NEST is used in computational neuroscience research worldwide.

History

NEST development was started in 1993 by Markus Diesmann and Marc-Oliver Gewaltig at the Ruhr University Bochum, Bochum, Germany and the Weizmann Institute of Science in Rehovot, Israel. At this time, the simulator was called SYNOD and simulations were defined in a stack based simulation language, called SLI. In 2001, the software changed its name from SYNOD to NEST. Until 2004, NEST was exclusively developed and used by the founding members of the NEST Initiative. The first public release appeared in summer 2004. Since then, NEST was released regularly, about once or twice per year. Since 2007, NEST supports hybrid parallelism, using POSIX threads and MPI. In 2008, the stack-based simulation language SLI was superseded by a modern Python interface, however, the old simulation language is still used internally. At the same time, the simulator independent specification language PyNN was developed with support for NEST. In 2012, the NEST Initiative changed the license from the proprietary NEST License to GNU GPL V2 or later.

  • 2012

    License changed to GNU GPL V2 or later.

  • 2008

    Python interface (PyNEST) introduced; SLI superseded but still used internally.

  • 2007

    Support for hybrid parallelism using POSIX threads and MPI.

  • 2004

    First public release.

  • 2001

    Software renamed from SYNOD to NEST.

  • 1993

    Development started as SYNOD at Ruhr University Bochum and Weizmann Institute of Science.

Products and positioning

Open-source, high-accuracy simulation software for computational neuroscience

  • NEST simulator

    Simulation software for spiking neural networks.

  • PyNEST

    Python interface for controlling the NEST simulation kernel.

  • SLI

    Stack-oriented simulation language interpreter.

Recent events

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