Nest

Jul 20, 2023

Simulator for spiking neural network models

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. The development of NEST is coordinated by the NEST Initiative.

NEST is ideal for networks of spiking neurons of any size, for example

  • Models of information processing e.g. in the visual or auditory cortex of mammals,
  • Models of network activity dynamics, e.g. laminar cortical networks or balanced random networks,
  • Models of learning and plasticity.


Checkout these related ports:
  • Zx - MQT ZX A library for working with ZX-diagrams
  • Zotero - Reference management for bibliographic data and research materials
  • Yoda - Particle physics package with classes for data analysis, histogramming
  • Xtb - Semiempirical Extended Tight-Binding Program Package
  • Xmakemol - Molecule Viewer Program Based on Motif Widget
  • Xdrawchem - Two-dimensional molecule drawing program
  • Xcrysden - Crystalline and molecular structure visualisation program
  • Xcfun - Exchange-correlation functionals with arbitrary-order derivatives
  • Wxmacmolplt - Graphical user interface principally for the GAMESS program
  • Wwplot - Plotting tool for experimental physics classes
  • Wannier90 - Maximally-localized Wannier functions (MLWFs) and Wannier90
  • Votca - CSG and XTP libraries for atomistic simulations
  • Voro++ - Three-dimensional computations of the Voronoi tessellation
  • Vmd - Molecular visualization program
  • Vipster - Crystalline and molecular structure visualisation program