NEST comes loaded with numerous state-of-the art neuron models. Textbook standards like integrate-and-fire and Hodgkin-Huxley type models are available alongside high quality implementations of models published by the neuroscience community. NESTML provides a framework to create models without the use of C++.
NEST offers convenient and efficient commands to define and connect large networks, ranging from algorithmically determined connections to data-driven connectivity. Create connections between neurons with our numerous synapse models from STDP to gap junctions.
NEST works like an physiological experiment but inside a computer. We have several different stimulating and recording devices you can use to perform your virtual experiment.
Optimized for HPC
NEST is fast and memory efficient. It makes best use of your multi-core computer and compute clusters with minimal user intervention. Whether you want to work on a small cluster or the largest supercomputers, NEST can scale to your needs.
Ready for science
To ensure you get the most out of NEST for your research needs, we stay up-to-date with the latest in research to develop a simulator for the neuroscience community. NEST developers are using continuous integration-based workflows in order to maintain high code quality standards for correct and reproducible simulations.
NEST has fostered a large community of experienced developers and amazing users, who actively contribute to the project. Our community extends to related projects, like the teaching tool NEST Desktop, neuromorphic computing, and neuroanalytical tools like Elephant.