Software

NMSAT is a python package that provides a set of tools to build, simulate and analyse neuronal microcircuit models with any degree of complexity, as well as to probe the circuits with arbitrarily complex input stimuli / signals and to analyse the relevant functional aspects of single neuron, population and network dynamics. It provides a high-level wrapper for PyNEST (which is used as the core simulation engine). [...]

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit http://www.nest-simulator.org [...]

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. For further information, visit http://www.nest-simulator.org [...]

NEST is a highly scalable simulator for networks of point or few-compartment spiking neuron models. It includes multiple synaptic plasticity models, gap junctions, and the capacity to define complex network structure..

NEST is a simulator for spiking neural&nbsp;network models that focuses on the dynamics, size and structure of&nbsp;neural systems rather than on the exact morphology of individual neurons. For further information, visit http://www.nest-simulator.org.</p> <p>The release notes for this release are available at https://github.com/nest/nest-simulator/releases/tag/v2.8.0

The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a C++ implementation of the 'parallel full approximation scheme in space and time' (PFASST) algorithm [...]

The PFASST algorithm is a time-parallel algorithm for solving ODEs and PDEs. The PFASST project is a C++ implementation of the 'parallel full approximation scheme in space and time' (PFASST) algorithm [...]