NEST is a simulator for spiking neural network models. It focuses on the dynamics, size, and structure of neural systems rather than detailed morphology of individual neurons.
The software is used for computational neuroscience work ranging from small example networks to large-scale simulations, and it can be controlled through a Python interface or used as a stand-alone application.
This is free and open source software.
Key Features
- Simulates networks of spiking neurons for research into neural dynamics, information processing, learning, and plasticity.
- Provides a Python interface for building, configuring, running, and analysing simulations.
- Includes a large collection of neuron and synapse models.
- Offers example network scripts, tutorials, and guides for developing simulations.
- Scales from laptops to multi-core computers, clusters, and supercomputers.
- Supports extension through custom modules.
- Uses continuous integration workflows to help maintain code quality and reproducible simulations.
Website: github.com/nest/nest-simulator
Support:
Developer: NEST Initiative
License: GNU General Public License v2.0
NEST is written in C++ and Python. Learn C++ with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
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